Tuesday, August 6, 2019

Frankenstein Analysis ; Essay Essay Example for Free

Frankenstein Analysis ; Essay Essay I. The pursuit of knowledge is at the heart of Frankenstein. In the letters at the beginning of the novel, Robert Walton had been writing to his sister of how he longs to travel the seas and attempts to surpass previous human explorations by endeavoring to reach the North Pole. Due to his pursuit of knowledge, he finds himself in a dangerous position trapped between sheets of ice. Victor’s pursuit of knowledge started from when he was just a child. The narrator begins to pick apart and identify the aspects of his personality that will eventually lead to his downfall. He possesses what he calls a thirst for knowledge. Thirst, of course, is a fundamental human need, necessary to ones very survival. Victors desire to learn, therefore, is driven by nothing so insubstantial as curiosity. It is instead the precondition of his very being. The fascinations of the human soul and how the body works, intensifying his thirst by reading the books of Cornelius Agrippa, Paracelsus and Albertus Magnus. As Victor attempts to surge beyond accepted human limits and access the secret of life, his creation ends up destroying everyone that he had care for. Although the two had a thirst for knowledge, one quickly realized that they had chosen a dangerous path, Robert Walton. You seek for knowledge and wisdom, as I once did; and I ardently hope that the gratification of your wishes may not be a serpent to sting you, as mine has been. ( letter IV pg 39)From the wise words of Victor, Walton ultimately pulls back from his treacherous mission, having learned from Victor’s example how destructive the thirst for knowledge can be. The theme of the pursuit of knowledge leads into the theme of secrecy. Victor keeps his studies and his experiment of his creation a secret. He also keeps the knowledge of Williams killer a secret because it was his creation of the monster that murdered the innocent boy. II. In chapter two, Victor witnesses the destructive power of nature when, during a raging storm, lightning destroys a tree near his house. â€Å" It was not splintered by the shock, but entirely reduced to thin ribands of wood. I never beheld anything so utterly destroyed. † (pg 48) Therefore Victor had witnessed the destructive powers of nature and was astonished that something so beautiful could be destroyed so abruptly. The world of nature that is expressed in the book can be argued that it affects the moods of characters in the novel. The sublime natural world, embraced by Romanticism as a source of unrestrained emotional experience for the individual. It initially offers characters the possibility of spiritual renewal. Mired in depression and remorse after the deaths of William and Justine, for which Victor responsible, Victor heads to the mountains to lift his spirits. The harsh winter that Victor endured symbolised depression and remorse. As well, after a the hellish winter of cold and abandonment, the monster feels his heart lighten as spring arrives. The influence of nature on mood is evident throughout the novel, but for Victor, the natural world’s power to console him wanes when he realizes that the monster will haunt him no matter where he goes. By the end, as Victor chases the monster obsessively, nature, in the form of the Arctic desert, functions simply as the symbolic scenery for his primal struggle against the monster. III. Victor has been in a stage of secrecy since he was a child. Because of his interests and ambitions that no one could understand, he stayed in secrecy. Victor conceives of science as a mystery to be examined and discover its secrets, once discovered, must be jealously guarded. He considers M. Krempe, the natural philosopher he meets at Ingolstadt, a model scientist: â€Å"an uncouth man, but deeply imbued in the secrets of his science. † Victor’s entire obsession with creating life is shrouded in secrecy, and his obsession with destroying the monster remains equally secret until Walton hears his tale. Whereas Victor continues in his secrecy out of shame and guilt, the monster is forced into seclusion by his bizarre appearance. Walton serves as the final confessor for both, and their tragic relationship becomes immortalized in Walton’s letters. In confessing all just before he dies, Victor escapes the stifling secrecy that has ruined his life; likewise, the monster takes advantage of Walton’s presence to forge a human connection, hoping desperately that at last someone will understand, and empathize with, his miserable existence. IV. The way Mary Shelley wrote the novel Frankenstein is in first person point of view. By having the book in first person the reader is able to witness Victor’s life story on a different level. This helps the reader have a better understanding of whats going on in the novel. If the novel was written in another form, the reader would probably have great difficulty understanding Victor’s story. Other pieces of works were also mention in the novel such as Paradise Lost. The texts and languages strongly associate with the story as well with other themes in the novel. â€Å"It moved every feeling of wonder and awe, that the picture of an omnipotent God warring with his creatures was capable of exciting. I often referred the several situations, as their similarity struck me, to my own. Like Adam, I was apparently united by no link to any other being in existence; but state was far from different from mine in every other respect. He had come forth from the hands of God a perfect creature, happy and prosperous, guarded by the especial care of his Creator, he was allowed to converse with, and acquire knowledge from, beings of a superior nature, but I was wretched, helpless and alone. † (Ch. XV, page 116) As stated in the quote, the monster is comparing himself and the relationship of him and his creator to the story that he reads in Paradise Lost. The reader can relate to the monster and can see his point of view of how he is mistreated by his creator unlike Adam in the Story. V. In Victors case, his isolation comes from pursuing his ambitions, choosing his ambition over the people around him. Even when Victor finishes creating his creature, his feelings of melancholy and guilt overwhelm him so that he cannot have solace from those around him. Though Victor is alone once the Creature has killed his family, this isolation could also be considered brought upon by Victor himself. Victor’s isolation, then, should create in him a sense of guilt or atonement for his creation of a Creature who stripped him of those friends and family surrounding him; however, Victor only seeks vengeance and his continued state of melancholy. The Creature, on the other hand, is isolated because of Victor. Victor was the Creature’s creator and should have provided and taught the creature, taking responsibility instead of running away. He also is isolated by society because of his appearance, which is, again, not the Creature’s fault. Compared to Victor, the Creature is far more isolate, and we can see that this isolation is superior to that of Victor because of the drastic measures the Creature takes in order to be with people. Victor does not really consciously attempt to engage with those around him, but the Creature does, craving companionship and a way to release himself from his isolation. Ultimately, the Creature cannot become part of any community so this isolation creates rage inside of the monster and leads him to commit the acts that ultimately isolate Victor. VI. In the novel Frankenstein by mary shelley there is a clear comparison between the creature and Victor to God and Satan. Victor and the creature are mostly compared to God and Satan. Victor was so blind by his determination to recreate that he was too late to realize exactly what he was creating. He saw that he wasn’t creating life but he was just twisting death. God also regretted his creation after it was too late. In the novel, Frankenstein, Mary Shelley intertwines the relationships between her characters through their insatiable desires for knowledge. The actions of these characters, predominantly the monster, allude to Satan, in John Milton’s epic poem, Paradise Lost. Both the monster and Satan are fixated on vengeance because of the parallel rejection they are faced with in their respective works. Vengeance becomes the principal theme during the course of both works and it fuels the fire for the consciences’ of the monster and Satan’s every judgment. Rejection by creator plays a vital role in the plots of both the monster and Satan. Victor’s creature, born innocent, tried to fit in the world that he was put into. But the constant rejection and isolation from the very beings that he longed to interact with caused him to evolve into a self-acknowledged Satan, from Paradise Lost. The monster immediately upon setting eyes on the world is abandoned and rejected by Victor Frankenstein. The monster states, â€Å"It is with considerable difficulty that I remember the original era of my being; all the events of that period appear confused and indistinct. † (Shelley 194) VII. Throughout the novel, Victor has been struggling with his identity. He was isolated because of his interests in philosophy that no one else had. â€Å" When i was thirteen years of age, we all went on a party of pleasure to the baths near Thonon: i chanced to find a volume of the works of Cornelius Agrippa†¦I communicated my discovery to my father. My father looked carelessly at the titlepage of my book, and said, â€Å"Ah! Cornelius Agrippa! My dear Victor, do not waste your time upon this: it is sad trash. † † ( pg 46 chap II) Victor’s interest were not accepted therefore he kept to himself and became non social. Thus hindering the aid of finding his identity. The creature also struggled with his quest to find his identity. His creator was filled with disgust at the first sight of him. Without hesitation he shunned his creation and ran away from him. The monster was left with no one to teach him how to love, no one to teach him social skills, how to live, the creature had to fend for himself in every case. This left the monster to question his identity, Was I then a monster, a blot upon the earth, from which all men fled, and whom all men disowned. This leads him to doubt himself, and actually contemplate suicide. Not knowing ones identity can be troublesome for someone. It can make one question everything they do, every move every thought questions. This can put a strain on ones life and cause them to feel depressed and suicidal. We can see this in the monster and Victor throughout the novel. Although the creature starts to realize that he is alone, there is no other like him. This helps him create an identity for himself. He can characterize himself as an outsider. The theme of identity helps the reader to have a stronger understanding of the characters. In the novel of Frankenstein it can be argued that the theme of religion has been illustrated within the book. While many people view Mary Shelley’s â€Å"Frankenstein† as a horror novel, it is also to be believed it has more of a religious background due to the insertion of â€Å"Paradise Lost† into the story. The story of God creating Adam is a popular topic in this story and is also believed that Shelly had intended for â€Å"Frankenstein† to be an allegory for the story of creation. In the instructional novel of How to read Literature Like a Professor, chapter five and seven can be used to make a connection with the novel of Frankenstein. In chapter five of the instructional manual of How to read Literature Like a Professor, the author explains how stories overlap in a way. Book are never totally original. They all use similar characters with similar personalities. Authors use other authors to influence their style of writing and what they write about. In the novel, Mary Shelley introduces the story â€Å" Paradise Lost†, to make a comparison and difference between the creature with Adam. â€Å" But ‘Paradise Lost’ excited different and far deeper emotions. I read it, as i had read the other volumes which had fallen into my hands as a true history†¦ I often referred the several situations, as their similarity struck me, to my own. Like Adam. † This quote can prove that the creation referred to the story of â€Å"Paradise Lost† and used it as a comparison to its own situation. Therefore stories indeed did overlap in a way. In chapter seven of the instructional manual of How to read Literature Like a Professor, it is mainly about how every piece of literature is somehow related to or referring to the Bible. They all involve things such as temptation, betrayal, denial, etc. Also, writers refer to the Bible because almost everybody knows at least some of the stories from the Bible. The novel Frankenstein expresses religion because Victors obsession with recreating life. He takes a place as God and the creature takes the place of Adam. The story of God and Adam was used in the novel to draw out the use of religion. Chapter seven also connects to Frankenstein because he felt the temptation of knowing the secrets of nature. † The world was to me secret which i desired to divine. † As quoted, Victor had temptation for knowledge. Therefore temptation was involved in the novel. Therefore, the instructional manual of How to read Literature Like a Professor and the novel Frankenstein are relatable. The manual is solely based on teaching rising students like me how to think, and change my perspective in order to get the deeper meaning behind a piece of literature. In Frankenstein the Monster, who is thought to be illiterate, watches the Frankenstein family and teaches himself to eat, sleep, and hold himself like them. He teaches himself to be a more sophisticated human being by watching this family similar to the way millions of students are teaching themselves to be more sophisticated by reading this manual.

Monday, August 5, 2019

Measures of Dispersion

Measures of Dispersion Summary The measure of central tendency, as discussed in the previous chapter tells us only about the characteristics of a particular series. They do not describe any thing on the observations or data entirely. In other wards, measures of central tendency do not tell any thing about the variations that exist in the data of a particular series. To make the concept, let discuss an example. It was found by using formula of mean that the average depth of a river is 6 feet. One cannot confidently enter into the river because in some places the depth may be 12 feet or it may have 3 feet. Thus this type of interpretation by using the measures of central tendency some times proves to be useless. Hence the measure of central tendency alone to measure the characteristics of a series of observations is not sufficient to draw a valid conclusion. With the central value one must know as to how the data is distributed. Different sets of data may have the same measures of central tendency but differ greatly in terms of variation. For this knowledge of central value is not enough to appreciate the nature of distribution of values. Thus there is the requirement of some additional measures along with the measures of central tendency which will describe the spread of the entire set of values along with the central value. One such measure is popularly called as dispersion or variation. The study of dispersion will enables us to know whether a series is homogeneous (where all the observations remains around the central value) or the observations is heterogeneous (there will be variations in the observations around the central value like 1, 50, 20, 28 etc., where the central value is 33). Hence it can be said that a measure of dispersion describes the spread or scattering of the individual values of a series around its central value. Experts opine different opinion on why the variations in a distribution are so important to consider? Following are some views on validity of the measure of dispersion: Measures of variation provide the researchers some additional information about the behaviour of the series along with the measures of central tendency. With this information one can judge the reliability of the value that is derived by using the measure of central tendency. If the data of the series are widely dispersed, the central location is less representatives of the data as a whole. On the other hand, when the data of a series is less dispersed, the central location is more representative to the entire series. In other wards, a high degree of variation would mean little uniformity whereas a low degree of variation would mean greater uniformity. When the data of a series are widely dispersed, it creates practical problems in executing data. Measure of dispersion helps in understanding and tackling the widely dispersed data. It facilitates to determine the nature and cause of variation in order to control the variation itself. Measures of variation enable comparison to be made of two or more series with regard to their variability. DEFINITION: Following are some definitions defined by different experts on measures of dispersion. L.R. Connor defines measures of dispersion as ‘dispersion is the measure extended to which individual items vary. Similarly, Brookes and Dick opines it as ‘dispersion or spread is the degree of the scatter or the variation of the variables about a central value. Robert H. Wessel defines it as ‘measures which indicate the spread of the values are called measures of dispersion. From all these definition it is clear that dispersion measures more or less describes the spread or scattering of the individual values of a series around its central value. METHODS OF MEASURING DISPERSION: Dispersion of a series of data can be calculated by using following four widely used methods Dispersion when measured on basis of the difference between two extreme values selected from a series of data. The two well known measures are The Range The Inter-quartile Range or Quartile Deviation Dispersion when measured on basis of average deviation from some measure of central tendency. The well known measures are The Mean/average deviation The Standard Deviation and The Coefficient of variation and The Gini coefficient and the Lorenz curve All the tools are discussed in details below one after the other. THE RANGE: The range is the simplest measure of the dispersion. The range is defined as the difference between the highest value and the lowest value of the series. Range as a measure of variation is having limited applicability. It is widely used for weather forecasting by the meteorological departments. It also used in statistical quality control. Range is a good indicator to measure the fluctuations in price change like that of studying the variations in the price of shares and debentures and other related matters. Following is the procedure of calculating range: Range= value of the highest observation (H) – value of the lowest observation (L) or Range = H – L Advantages of Range: Range is the simplest of obtaining dispersion. It is easily understandable and can be interpreted easily. It requires fewer times to obtain the variation in the series. Disadvantages of Range: As it considers only two extreme values, hence it doesnt include all the observations of the series. It fails to tell any thing about the characteristics of a distribution It is having very limited scope of applicability Having no mathematical treatment THE INTER-QUARTILE RANGE OR QUARTILE DEVIATION: A second measure of dispersion is the inter-quartile range which takes into account the middle half i.e., 50% of the data thus, avoiding the problem of extreme values in the data. Hence it measures approximately how far from the median one must go on either side before it can be include one-half the values of the data set. Inter-quartile range can be calculated by dividing the series of observations into four parts; each part of the series contains 25 percent of the observations. The quartiles are then the highest values in each of these four parts, and the inter-quartile range is the difference between the values of the first and the third quartile. Following are the steps of calculating the inter-quartile range: Arrange the data of the series in ascending order. Calculate the first quartile which is denoted as (Q1) by using the formula In case of grouped data the first quartile (Q1) can be calculated by using the formula Where N= number of observations in the series i.e., the sum of frequencies, L = lower limit of the quartile class, p.c.f. = commutative frequency prior to the quartile class, f = frequency of the quartile class and i = class interval. Quartile class can be determined by using the formula. Calculate the third quartile which is denoted as (Q3) by using the formula in case of ungrouped data. In case of grouped data the third quartile (Q3) can be calculated by using the formula Where N= number of observations in the series i.e., the sum of frequencies, L = lower limit of the quartile class, p.c.f. = commutative frequency prior to the quartile class, f = frequency of the quartile class and i = class interval. Quartile class can be determined by using the formula. THE MEAN/AVERAGE DEVIATION: Mean/average deviation is the arithmetic mean of the difference of a series computed from any measure of central tendency i.e., either deviation from mean or median or mode. The absolute values of each observation are calculated. Clark and Schekade opine mean deviation or average deviations as the average amount of scatter of the items in a distribution from either the mean or the median, ignoring the signs of the deviations. Thus the average that is taken of scatter is an arithmetic mean, which accounts for the fact that this measure is often called as mean deviation or average deviations. Calculations of Mean Deviation in case of Discrete Series: In case of discrete series, mean deviation can be calculated through following steps The first step is to calculate the mean or median or mode of the given series Compute the deviations of the observations of the series from the calculated mean or median or mode. This deviation is also denoted as capital letter D and is always taken as mod value i.e., ignoring the plus or minus sign. Take the summation of the deviations (sum of D) and divide it by number of observations (N). In the same way one can calculate mean deviation from median or mode in case of individual series. Calculations of Mean Deviation in case of discrete series: Mean deviation can be calculated in case of discrete series in a little bit different way. Following are some steps to calculate the average mean when the series is discrete. The first step is to calculate the mean or median or mode of the given series by using the formula as discussed in the previous chapter. Compute the deviations of the observations of the series from the calculated mean or median or mode value. This deviation is also denoted as capital letter D and is always taken as mod value i.e., ignoring the plus or minus sign. Multiply the corresponding frequency with each deviation value i.e., calculate f * D. Similarly, one can calculate the mean deviation or average deviation by taking deviations from median or mode. Calculations of Mean Deviation in case of continuous series: The first step is to calculate the mean or median or mode of the given series by using the formula as discussed in the previous chapter. In the second step, get the mid values of the observations (m) Compute the deviations of the observations of the series from the calculated mean or median or mode value. This deviation is also denoted as capital letter D = m mean or median or mode and is always taken as mod value i.e., ignoring the plus or minus sign. Multiply the corresponding frequency with each deviation value i.e., calculate f * D. Take the summation i.e., (sum of D) and divide it by number of observations (N). The formula may be Advantages of mean deviation: The computation process of mean deviation is based on all the observations of the series. The value of mean deviation is less affected by the extreme items. These are three alternatives available with the researcher while calculating the mean. One can consider the mean or median or mode. Hence it is more flexible in calculation. Disadvantages of mean deviation: The practical usefulness of mean deviation is very less. Mean deviation is not having enough scope for further mathematical calculations. Mod values are considered while calculating the mean deviation. It is criticized by some experts as illogical and unsound. THE STANDARD DEVIATION: Standard deviation or other wise called as root mean square deviation is the most important and widely used measure of variation. It measures the absolute variation of a distribution. It is the right measure that highlights the spread of the observation over and around the mean value. The greater the rate of variation of observations in a series, the greater will be the value of standard deviation. A small value of standard deviation implies a high degree of homogeneity among the observations in the series. If there will be a comparison between two or more standard deviations of two or more series, than it is always advisable to choose that series as ideal one which is having small value of standard deviation. Standard deviation is always measures from the mean or average value of the series. The credit for introducing this concept in the literature goes to Karl Pearson, a famous statistician. It is denoted by the Greek letter (pronounced as sigma) Standard deviation is calculated in following three different series: Standard deviation in case of Individual series Standard deviation in case of Discrete series Standard deviation in case of Continuous series All the above conditions are discussed in detail below. a. Standard deviation in case of individual series: In case of individual series, the value of standard deviation can be calculated by using two methods. Direct method- when deviations are taken from actual mean Short-cut method- when deviations are taken from assumed mean 1. Direct method- when deviations are taken from actual mean: Following are some steps to be followed for calculating the value of standard deviation. The first step is to calculate the actual mean value of the observation In the next column calculate the deviation from each observation i.e., find out () where is the mean of the series. In the next column calculate the square value of the deviations and at the end of the column calculate the sum of the square of the deviations i.e., Divide the total value with the number of observations (N) and than square root of the value. The formula will be . Since the series is having individual observations, some times it so happens that there is no need of taking the deviations. In such a case the researcher can directly calculate the value of the standard deviation. The formula for calculating directly is . 2. Short-cut method- when deviations are taken from assumed mean: In practical uses it so happens that while calculating standard deviation by using the arithmetic mean, the mean value may be in some fractions i.e., .25 etc. This creates the real problem in calculating the value of standard deviation. For this purpose, instead of calculating standard deviation by using the above discussed arithmetic mean methods, researchers generally prefer the method of short-cut which is nothing rather calculation of standard deviation by assuming a mean value. Following are some steps that to be followed for calculating standard deviation in case of assumed mean method: The first step is to assume a value from the X values as mean. This mean value is denoted as A. In the next step deviations are to be calculated from this assumed mean as (X-A) and this value is denoted as D. At the end of the same column, the sum of D () is to be calculated. Calculate the square of each observation of D i.e., calculate. The following formula is to be used to calculate standard deviation of the series. where N is the number of observations in the series. b. Standard deviation in case of discrete series: Discrete series are the series which are having some frequencies or repetitions of observations. In case of a discrete series standard deviation is calculated by using following three methods: when deviations are taken from actual mean when deviations are taken from assumed mean Following are the detailed analysis of the above the two methods. 1. When deviations are taken from actual mean: The steps to calculate standard deviation when deviations are calculated from the actual mean are The first step is to calculate the actual mean value of the observation In the next column calculate the deviation from each observation i.e., find out () where is the mean of the series, this can be denoted as D. In the next column calculate the square value of the deviations and at the end of the column calculate the sum of the square of the deviations i.e., Multiply corresponding frequencies of each observation with the value of D2 in the next column. Divide the total value with the number of observations (N) and than square root of the value. The formula will be 2. When deviations are taken from assumed mean: The steps to calculate standard deviation when deviations are calculated from the actual mean are The first step is to assume a mean value from the observations In the next column calculate the deviation from each observation i.e., find out () where A is the mean of the series, this deviation can be denoted as D. In the next column calculate the square value of the deviations and at the end of the column calculate the sum of the square of the deviations i.e., Multiply corresponding frequencies (f) of each observation with the value of D2 in the next column. Use the following formula to calculate standard deviation c. Standard deviation in case of Continuous series: Standard deviation in case of a continuous series can be calculated by using the following steps Calculate the mid value of the series and denote it as ‘m. Assume any value from the mid values and denote it as A Deviations can be calculated from each series i.e., calculate m – A and than divide it with the class interval value (i) i.e., Multiply the corresponding frequencies of each observation with the deviation value and take the sum at the end of the column i.e., calculate In the next column square the deviation values of each observation i.e., calculate Multiply the value of with its frequencies i.e., calculate Use the following formula to get standard deviation. Properties of standard deviation: As tool of variance, standard deviation is used as a good measure of interpretation of the scatteredness of observation of a series. It is a fact that in a normal distribution approximately 68 per cent of the observations of a series lies less than standard deviation away from the mean, again approximately 95.5 per cent of the items lie less than 2 standard deviation value away from the mean and in the same way 99.7 per cent of the items lie within 3 standard deviations away from the mean. Hence covers 68.27 per cent of the items in a series with normal distribution. covers 95.45 per cent of the items in a series with normal distribution and covers 99.73 per cent of the items in a series with normal distribution. Advantage of Standard Deviation: Following are some advantages of standard deviation as a measure of dispersion This is the highest used technique of dispersion. It is regarded as a very satisfactory measure of the dispersion of a series. It is capable of further mathematical calculations. Algebraic signs are not ignored while measuring the value of standard deviation of a series. It is less affected by the extreme observations of a series. The coefficients make the standard deviation very popular measure of the scatteredness of a series. Disadvantages of standard deviation: The disadvantages are It is not easy to understand the concept easily and quickly. It requires a good exercise to calculate the values of standard deviation. It gives more weight to observations which are away from the arithmetic mean. THE COEFFICIENT OF VARIATION: Another useful statistical tool for measuring dispersion of a series is coefficient of variation. The coefficient of variation is the relative measure of standard deviation which is an absolute measure of dispersion. This tool of dispersion is mostly used in case of comparing the variability two or more series of observation. While comparing, that series for which the value of the coefficient of variation is greater is said to be more variable (i.e., the observations of the series are less consistent, less uniform, less stable or less homogeneous). Hence it is always advisable to choose that series which is having less value of coefficient of variation. The value of coefficient is less implies more consistent, more uniform, more stable and of course more homogeneous. The value of coefficient of variation is always measured by using the value of standard deviation and its relative arithmetic mean. It is denoted as C.V., and is measured by using simple formula as discussed below: In practical field, researchers generally prefer to use standard deviation as a tool to measure the dispersion than that of coefficient of variance because of a numbers of reasons (researchers are advised to refer any standard statistics book to know more on coefficient of variance and its usefulness). GINI COEFFICIENT AND THE LORENZ CURVE: An illuminating manner of viewing the Gini coefficient is in terms of the Lorenz curve due to Lorenz (1905). It is generally defined on the basis of the Lorenz curve. It is popularly known as the Lorenz ratio. The most common definition of the Gini coefficient is in terms of the Lorenz diagram is the ratio of the area between the Lorenz curve and the line of equality, to the area of the triangle OBD below this line (figure-1). The Gini coefficient varies between the limits of 0 (perfect equality) and 1 (perfect inequality), and the greater the departure of the Lorenz curve from the diagonal, the larger is the value of the Gini coefficient. Various geometrical definitions of Gini coefficient discussed in the literature and useful for different purposes are examined here. CONCLUSIONS: The study of dispersion will enables us to know whether a series is homogeneous (where all the observations remains around the central value) or the observations is heterogeneous (there will be variations in the observations around the central value Hence it can be said that a measure of dispersion describes the spread or scattering of the individual values of a series around its central value. For this there are a numbers of methods to determine the variations as discussed in this chapter. But it is always confusing among the researchers that which method is the best among the different techniques that we have discussed? The answer to this question is very simple and says that no single average can be considered as best for all types of data series. The most important factors are the type of data available and the purpose of investigation. Critiques suggest that if a series is having more extreme values than standard deviation as technique is to be avoided. On the other hand in case of more skewed observations standard deviation may be used but mean deviation needs to be avoided where as if the series is having more gaps between two observations than quartile deviation is not an appropriate measure to be used. Similarly, standard deviation is the best technique for any purpose of data. SUMMARY: The study of dispersion will enables us to know whether a series is homogeneous (where all the observations remains around the central value) or the observations is heterogeneous (there will be variations in the observations around the central value). Dispersion when measured on basis of the difference between two extreme values selected from a series of data. The two well known measures are (i) The Range and (ii) The Inter-quartile Range. Dispersion when measured on basis of average deviation from some measure of central tendency. The well known measures are (i) The Mean/average deviation, (ii) The Standard Deviation, (iii) The Coefficient of variation and (iv) The Gini coefficient and the Lorenz curve The range is defined as the difference between the highest value and the lowest value of the series. Range as a measure of variation is having limited applicability. The inter-quartile range measures approximately how far from the median one must go on either side before it can be include one-half the values of the data set. Mean/average deviation is the arithmetic mean of the difference of a series computed from any measure of central tendency i.e., either deviation from mean or median or mode. The absolute values of each observation are calculated. A small value of standard deviation implies a high degree of homogeneity among the observations in the series. If there will be a comparison between two or more standard deviations of two or more series, than it is always advisable to choose that series as ideal one which is having small value of standard deviation. Standard deviation is always measures from the mean or average value of the series. The coefficient of variation is the relative measure of standard deviation which is an absolute measure of dispersion. This tool of dispersion is mostly used in case of comparing the variability two or more series of observation. The most common definition of the Gini coefficient is in terms of the Lorenz diagram is the ratio of the area between the Lorenz curve and the line of equality, to the area of the triangle below the equality line. IMPORTANT QUESTIONS: 1. Age of ten students in a class is considered. Find the mean and standard deviation. 19, 21, 20, 20, 23, 25, 24, 25, 22, 26 The following table derives the marks obtained in Statistics paper by 100 students in a class. Calculate the standard deviation and mean deviation. The monthly profits of 150 shop keepers selling different commodities in a city footpath is derived below. Calculate the mean, mean deviation and standard of the distribution. The daily wage of 160 labourers working in a cotton mill in Surat cith is derived below. Calculate the range, mean deviation and standard of the distribution. Calculate the mean deviation and standard deviation of the following distribution. What do you mean by measure of dispersion? How far it helpful to a decision-maker in the process of decision making? Define measure of Dispersion? Among the various tools of dispersion which tool according to you is the best one, give suitable reason of your answer. What do you mean by measure of dispersion? Compare and contrast various tools of dispersion by pointing out their advantages and disadvantages. Discuss with example the relative merits of range, mean deviation and standard deviation as measures of dispersion. Define standard deviation? Why standard deviation is more useful than other measures of dispersion? The data derived below shows the ages of 100 students pursuing their master degree in economics. Calculate the Mean deviation and standard deviation. Following is the results of a study carried out to determine the number of mileage the marketing executives drove their cars over a 1-year period. For this 50 marketing executives are sampled. Based on the findings, calculate the range and inter-quartile range. In an enquiry of the number of days 230 patients chosen randomly stayed in a Government hospital following after operation. On the basics of observation calculate the standard deviation. Cars sold in small car segment in November 2009 at 10 Maruti Suzuki dealers in Delhi city is explained below. Compute the range, mean deviation and standard deviation of the data series. Following is the daily data on the number of persons entered through main gate in a month to institute. Calculate the range and standard deviation of the series. Calculate the range and coefficient of range of a group of students from the marks obtained in two papers as derived below: Following are marks obtained by some students in a class-test. Calculate the range and coefficient of range. By using the direct and indirect method, calculate the mean deviation by using both arithmetic mean and mode from the following data set which is related to age and numbers of residents of Vasundara apartment, Gaziabad. A local geezer manufacturer at Greater Noida has developed a new and chief variety of geezers which are meant of lower and middle income households. He carried out a survey in some apartments asking the expectations of the customers that they are ready to invest on purchase of geezer. Calculate the standard deviation of the series. Calculate median of the following distribution. From the median value calculate the mean deviation and coefficient of mean deviation. Calculate median of the following distribution. From the median value calculate the mean deviation and coefficient of mean deviation. Calculate the arithmetic average and standard deviation from the following daily data of rickshaw puller of Hyderabad City. From the students of 250 candidates the mean and standard deviations of their total marks were calculated as 60 and 17. Latter in the process of verification it is found that a score 46 was misread 64. Recalculate the correct mean and standard deviation. The wage structure paid on daily basis of two cotton factories are derived below. In order to show the inequality, draw the Lorenz curve. Total marks obtained by the students in two sections are derived below. By using the data draw a Lorenz curve. Draw the Lorenz curve of the following data. Find the range and co-efficient of range for the following data set. The height of 10 firemen working in a fire station are 165, 168, 172, 174, 175, 178, 156, 158, 160, 179 cms. Calculate the range of the series. Now let that the tallest and the shortest firemen are get transformed from the fire station. Calculate the range of the new firemen. What percentage change is found in the earlier range and the latter range? Calculate the quartile deviation from the following derived data. Calculate the interquartile range, quartile deviation and its coefficient for the following data series. Calculate the mean deviation from the following data. Calculate the mean deviation from median and mean for the following series. The distribution derived below reveals the difference in age between husband and wife in a community. Based on the data, calculate mean deviation and standard deviation. Calculate th

Sunday, August 4, 2019

Jim Morrison :: essays research papers

Jim Morrison "Friends can help each other. A true friend is someone who lets you have total freedom to be yourself— and especially to feel. Or not feel. Whatever you happen to be feeling at the moment is fine with them. That's what real love amounts to— letting a person be what he really is.... Most people love you for who you pretend to be.... To keep their love, you keep pretending— performing. You get to love your pretense.... It’s true, we're locked in an image, an act— and the sad thing is, people get so used to their image— they grow attached to their masks. They love their chains. They forget all about who they really are. And if you try to remind them, they hate you for it— they feel like you're trying to steal their most precious possession." - Jim Morrison (1943-71) Jim Morrison Jim Morrison is often thought of as a drunken musician. He is also portrayed to many as an addict and another 'doped up' rock star. These negative opinions project a large shadow on the many positive aspects of this great poet. Many famous authors influenced Jim’s music heavily. You must cast aside your ignorance and look behind the loud electric haze of the sixties music. You must wipe your eyes and look through the psychedelic world of LSD. Standing behind these minor flaws, you will see a young and very intellectual poet named Jim Morrison. Jim Morrison's distraught childhood was a contributing factor to Jim's fortune and his fate. As a young child, Jim experienced the many pains of living in a military family. Having to move every so often, Jim and his brother, and sister never spent more than a couple of years at a particular school. Jim attended eight different schools, Grammar and High, throughout his schooling career. This amount of traveling made it hard for a young child to make many friends. In high school, Jim had an especially hard time; "The only real friend he made was a tall but overweight classmate with a sleepy voice named Fud Ford ". Although there seems to be many negative aspects of Jim's child hood, many positive aspects did arise, as well. The traveling done by the Morrison family brought Jim through many different experiences and situations. For instance, while driving on a highway from Santa Fe with his family, he said he experienced, "the most important moment of my life".

Julie Wolpers Internet Basics :: Julie Wolper

Internet Basics Julie Wolper's "Internet Basics" was originally offered by the Telecommunication Community Resource Center and represents a growing phenomena on the Web -- the free course. In fact, this is not so much a course as it is a self-directed tutorial, an outgrowth of the early guided learning modules that first appeared in PLATO and in early DOS and Macintosh programs. Wolper's work offers its users a brief guide to the Internet (along with an introduction written by Dan Duvall). It includes descriptions of such technologies as the Web, downloads, e-mail and newsgroups, a collection I found oddly conceived till I worked through the site: the technologies chosen all fit within her stated vision of the Internet: ". . . a network of linked computers allowing participants to share information on those computers." Given that understanding and conceptualization of the Internet (and it's one that is certainly defensible, if not one that is rapidly becoming the standard), her choices make perfect sense. And her information is very down to earth, succinct and accurate; her brief summation of the history of the Internet, for instance, is right on the button, and useful for helping new users begin to think about the issues involved in using and being part of the Web. Though the site is decidedly kinesthetic in its approach -- users are often enjoined to "try" this and links take them to places where the technology they've just installed can be used. But the instructions can often be mercilessly brief and I wonder if newcomers could hope to follow them without more step by step instruction: Set up a "downloads" area: The first step here is to create a new folder or directory on your hard drive entitled, simply, "downloads." This file can reside anywhere you like. I keep mine on the "desktop" where I can easily find the new things I get. Some people also find it helpful to put the "download" directory at the root level of their c: drive. How many new time users are guaranteed to know how to create a folder at all, let alone locate it on their desktop? Admitted, knowing how to create a folder is not strictly speaking part of the content of a course about using online technology, but it's certainly germane.

Saturday, August 3, 2019

U.S. Marshall Matt Dillon as the Ideal American :: American Culture Essays

U.S. Marshall Matt Dillon as the Ideal American The old-west lawman is an American hero and represents the ideals of American society. He is immediately thought of when one contemplates strength of character and other fine qualities. As an irreplaceable part of American tradition, his characteristics are looked upon as a model to all other Americans. Much of what is known about the old-west lawman comes from stories of fiction one of these being the radio program Gunsmoke. Matt Dillon, a U.S. Marshall, plays the lead role in this favorite American radio series. In each episode he beats the odds as he protects his home of Dodge City. Demonstrating the qualities of the old-west lawman, Matt Dillon, of Gunsmoke, is trusting, respectful, and courageous. Even with all that is bad in the world, Dillon is still quick to trust. Unlike so many others, who automatically believe the worst about people, Dillon easily trusts a persons word. In the episode Potato Road Dillon gives Budge the benefit of the doubt even though he seems a little fishy. In the episode Robber Bride Groom, Dillon allows Jack and Laura, both of whom he had arrested, to leave town, because he trusted that they would do what is right. To support Dillons judgment, the listener is given no reason to consider that Jack and Laura wont live up to Dillons expectations. Even when others arent willing to trust people, Dillon is there to defend. For example, in The Liar from Blackhawk Dillon justifies his trust in the gunman traveling through town by saying: Hes a paid gunman, but Ive never known him to lie. In Dillons eyes everyone is innocent until proven guilty. This trust allows others to trust Dillon - if he has trust in you, why shouldnt you have trust in him. Respect if something you must first give before one can receive it, and U.S. Marshal Matt Dillon lives by this principle. In Potato Road when Dillons sidekick, Chester, helps him save themselves and the town, Dillon is quick to give credit to Chester. Dillon himself is humble as he thanks Chester for his quick thinking and hard work. It could be considered easy to respect people who have just saved your life, however it shows trust strength of character to be respectful when someone is insulting you. Dillon displays this strength in Robber Bride Groom when Mr. Reeves demeans Dillon and his position as U.

Friday, August 2, 2019

Frankenstein Essay

Throughout the novel, Frankenstein, a feminist theme subtly pervades the novel, and is crucial to the characters of the story, the plot line and the setting of the novel. The reasons for the creation of the monster lie within Frankenstein’s own familial relationships, especially with the grief he experienced at the loss of his mother. Frankenstein is riddled with passive female characters who suffer throughout the novel. However, not one female character throughout the novel ever exhibits behaviour outside of the submissive female role. Elizabeth, Victor’s love, dies at the hand of the male creature, while waiting for Victor to rescue her. Elizabeth is unable to do anything to defend herself without the help of a man. Equally, Justine Moritz is sentenced to death for a murder the creature also committed. Once again, she is unable to defend herself and prove her innocence and dies for it. Some may argue that Justine is a victim of circumstance however, but her docile role leaves her helpless to make her own destiny and defend herself against the false accusation. Mary Shelley’s own family life affected contents of the novel as well. Her mother, Mary Wollstonecraft, a strong activist in the feminist movement, had died shortly after her own birth, and both her and her sister did not take kindly to their Father’s second wife, Mary Clairmont. During the nineteenth century, within Genevan society, where the novel was first written, men dominated the social and intellectual employment, whilst women only occupied the domestic work/lifestyle. Although the passivity of female characters is at a constant throughout the novel, perhaps coming to the conclusion that Frankenstein is simply a misogynistic text is unreasonable. Shelley’s feminist background, as a daughter of Wollstonecraft, questions the motives behind stereotyping traits of all of the female characters in the novel. Also, Elizabeth and Justine both died far before the end of the novel. It can be argued that by emphasising the conservative qualities of the characters, Shelley was able to also define the negative aspects of the static female ole by exterminating female characters that fit that role. By linking the submissive women with the negative demises, Shelley was able to emphasise the negative outcomes of their behaviour, contrasting with feminist ideals that would have in turn saved the character in each case. It can be debated that Shelley’s presentation of women after Caroline Beaufort’s death is the irreplaceable place of a mother or the assumption of roles by other characters. In the novel, Shelley seems to portray Caroline’s death as society’s view of women. Caroline is easily discarded, performs the role of the mother and then perishes. The women in Frankenstein could also be seen as virtuous and caring, as Caroline sacrifices her own health knowingly in order to look after Justine and Elizabeth; â€Å"Elizabeth was saved, but the consequences of this imprudence were fatal to her preserver. † Elizabeth appears to represent a replacement mother figure within the Frankenstein family, spurred on by dying request of Caroline for her to â€Å"supply† her place to her â€Å"younger children†. Agatha, as well, supplies this need within the DeLacey family by playing the womanly role. However, it is argued by some that a mother can never be truly replaced, and according to the maternal and biblical symbolism throughout this novel, the reader could be inclined to believe this is Shelley’s true opinion. Mary Shelley’s own mother died only eleven days after her birth, and it could be seen that the absence of a maternal figure is clear in Frankenstein. The absence of the maternal figure shows the apparent breakdown of a family unit and seems to inspire an oedipal complex within both Frankenstein and the monster. Like in Frankenstein, the role of men in Brave New World has a complete higher standing to women, both physically and psychologically. Also in comparison to Frankenstein, women have a better understanding of emotions and have more social roles. The portrayal of male superiority is uniform throughout the novel, and starts by introducing that overall dominance with the tour of the Hatchery. All the students on the tour are male and although maybe a minor detail, this shows that women are restricted to the things they do at an early age. During the tour, the students learn about pregnancies and that women are sterilised, yet the men aren’t. This short and important fact by the author exclaims the physiological dominance of men over women. The book shows no clear objection to leaving the future of their offspring in the hands of males, even if it is unhealthy. A specific character to talk about in Brave New World is Linda. Linda is the character in the novel who opposes the traditional role of women in the book (and that of women in Frankenstein). Like in a lot of Huxley’s pieces, this novel centres heavily around sex. In Brave New World, sex is no longer used for procreation but for distraction and pacification. The act has been dehumanised and devoid of human passion. I feel in this, Huxley tries to argue whether the future of our lifestyle is a subjugation of a natural inclination toward monogamy or the freedom of sleeping with many people. Linda is portrayed as the person opposing to modern culture, and causes the reader to question whether Huxley’s portrayal of women in Brave New World is apt. For her opposition to the modern culture, Linda is isolated, condemning her and her son to a marginal existence because of this. Another female character worth mentioning in Brave New World is Lenina Crowne, the main female character in the novel. Foster, Bernard and John are in awe of this woman, and it is puzzling to see why. She lacks intelligence, and is not particularly creative, interesting or unique. A word that Huxley uses constantly is â€Å"pneumatic†. The official definition of this is ‘full of air’, which seems to mean she is curvy and all-round sexy. It could be argued that Aldous Huxley purposely used this word as a double meaning, that she’s pneumatic mentally also; she’s vapid (lifeless and dull). In contrast to Linda in the novel, Huxley’s constant use of â€Å"pneumatic† implies that she’s the epitome of the World State female. I feel it is clear throughout the novel, and corresponding to her previous upbringing and family, Frankenstein works as an indication to the treatment of women during that time. Her portrayal of inferior women is ironic given she is the daughter of Mary Wollstonecraft. Elizabeth could be seen as a sign of mistreatment to women as she is portrayed as the perfect woman who represents domestic bliss and harmony, while rejected by Victor Frankenstein in his â€Å"pursuit of knowledge†. The role of Elizabeth during the novel could work as a feminist warning also, as she magnifies Victor’s selfish character; â€Å"my more than sister, since till death she was to be mine only. Likewise, in Brave New World, Aldous Huxley could have written the novel in order to show the wrong attitude towards women during the story. This could trigger spite towards the limits that women are still treated at, or were treated at when the novel was written. In conclusion to the two texts, the theme of feminism is still very relevant to the plot line in this modern age, although both works have been continuously adapted into different stories, plays and movies. Both Huxley and Shelley represent their female characters as inferior to and reliant on men, as well as more emotional in both texts. I feel both the authors represent their female roles like this, and in a negative light, to receive a reaction from the reader; in order to think of how women are still treated in today’s society and back then. The fact that Frankenstein is still present in literature, theatre, and cinema attests to the perpetuity of Mary Shelley’s Frankenstein and her views on feminism in society.

Thursday, August 1, 2019

Unit 2- the Developing Child

Unit 2 Assignment- The developing child D1 The expected social stage of social development for a 4 year old is that they are more aware to talk to knew people than when they were the age of 3; the children are more friendly and caring towards others. Children are a lot more confident in these ages. D2 The expected social stage of development for a 5 year old is, her or she is becoming very co-operative and engages in conversation. A 5 year old can speak clearly and use different connectives properly in a sentence. Children can also start to choose their own friends.By the end of age 5 children want to please friends, agree to rules and enjoy dancing and singing. D3, D4 One method of observation and recording social development of a child aged 5 could be ‘structured recording’. Structured recording is where you observe a child independently whilst they’re playing, learning, or participating in an activity and following their progress by following a basic tick/check list. It involves looking for particular skills or behaviour that they can either do or cannot. D5 Many factors may affect the way children express their social development.The factors could be, environmental risk factors such as living in an unsafe community, receiving care within a low-quality child care setting, lack of resources available in the community or lack of policies supporting children and families. D6 Snack and meal times can support social development in many ways, for example children learn how to co-operate with one another, they learn how to share with one another for example passing the food bowl around or taking turns, children can also make new friends by sitting near someone they don’t know and interacting with them.This is supporting the child to develop in their social skills. D7 Diversity is an understanding and excepting that all children are different. It is showing that everyone is diverse, and that everyone has different wants and needs. Inclusiv e practise is when all children, no matter how diverse, are included in the same activity and don’t get left out; however the practitioners help adjust activities to help meet the individual needs of others, whilst making them feel like they can do anything with another child no matter their ability.B1 As a practitioner, In order to help the child going through this transition you need to find out as much information as you can, you may do this via parents or career. To support the child through this transition make sure the child understands that everyone will go through the same changes, but that they happen earlier in some children and later in others. Encourage children to take part in regular physical or social activities and give them openings to discuss with you any worries or concerns. B2Collecting information be carrying out observations on children needs to be seen as the starting point rather than the end point. The next step is to evaluate the information although the way in which you might do this may vary. As a practitioner, you might evaluate the observations and a learning tool for your own professional development and feedback your thoughts to your supervisor. As a practitioner, observations might be evaluated so that information can be passed on to your parents and more importantly, so that you can plan more effectively for the child’s needs and interests.