The Penn State Sex Scandal Essay Example | Topics and Well Written Essays - 750 words - 1

The Penn State Sex Scandal - Essay Example Unfortunately, the identity of the boy remains to be unidentified. Cleary, Sandusky should be held accountable because he molested kids, ruined the reputation of the football program and jeopardized the careers of his colleagues. The first and foremost reason why Sandusky should be indicted is due to the fact he molested little kids during his 3 year tenure period. According to McQueary’s testimony, McQueary depicted a scene in which he entered the Lasch Football locker room and thought he heard voices that depicted sexual activity. He walked into a shower room and saw a naked boy Victim 2. McQueary insisted that the naked boy, Victim 2 was backed up against the shower and was subjected to anal intercourse. The next day, McQueary reported this horrific incident to Paterno, who conveyed this message to Paterno. However, Paterno had knowledge of this information but continued to bring this to the public. The investigation continued to grow stronger as the mother of a young child , who was identified in documents as â€Å"Victim 1. â€Å" To make matter worse, a mother of a boy who was a Central Mountain High School in Clinton County was also reported to be molested by Sandusky. The Grand Jury Investigation concluded that Sandusky evidently had an inappropriate relationship with that boy and was reported to have â€Å"illicit touching: with victim 1 since 2005. ...Both Curley and Schultz denied the fact that Sandusky had oral-anal sexual intercourse with the victim. Curley continued to refute the fact that McQueary told him anything of that nature and insisted that Sandusky was just playing around with kids. The second reason why Sandusky should be indicted and be prisoned is due to the fact that he clearly stained the football program at Penn State. Penn State football program was one of the most prominent and respectable programs in the NCAA. For the last 23 years in this football program, he was the team’s defensive coordinator. However, his hig h reputation as a coach saved was completely diminished after the scandal. Although Sandusky was considered to be â€Å"the heart and the soul† for the football team, this accusation was a huge stain in his reputation. Moreover, the whole football team lost its concentration to achieve the ultimate goal after the scandal had a crippling effect throughout the school. The â€Å"icing on the cake† that proves that Sandusky should be indicted is due to the fact that his horrific actions have jeopardized the professions of his colleagues. As a Penn State coach, Paterno had earned a very solid reputation as a football coach. However, after these accusations were indicted against Sandusky, Paterno and McQueary became victims. Paterno was fired shortly as Sandusky awaited trial. It was evident that the 85 years Paterno’s legacy was brutally plagued with this scandal. Paterno was notorious for assisting students with academics as he also donated to build a library at Pen n State.

Null Hypothesis And Alternative Hypothesis Philosophy Essay

Null Hypothesis And Alternative Hypothesis Philosophy Essay In order to survive in the business world, business units today are forced to innovate and launch the products immediately in the market. But this is easier said than done. Numerous factors come into the picture for this to materialise. Notably among them is the fact that too much cost factor which comes into the picture. For the product launching is well planned and thought off activity. The activities include conducting market surveys which in plain sense means that the business units are required to conduct or determine the feasibility of the new product within a limited area and then based on the results they take further course of action i.e. go ahead with the launch of the product or to drop the project altogether. In other words, business units conduct sample surveys i.e. obtaining the response on a small piece of the larger picture and then based on the results of the small piece, estimate the likely response on the larger piece of the picture. The small piece is known as the sample and the larger piece is known as the population. Thus the concept of sample and population plays a vital role and assists the management in taking core decisions which may or not prove fruitful in the survival of the business. In order, to take decisions based on the sample and to estimate the population parameters business units are required to start with some of the assumptions or the hypothesis. And, based on assumptions or hypothesis about the population it is tested meaning that whatever the assumption that they started with, whether the assumption was correct or incorrect. Thus we have hypothesis testing. Let us take an example to illustrate what has been said above. Suppose, the business units want to bring in a new product in the market which will increase the market share and hence the profitability of the business unit. In this case, the hypothesis would be introduction of new product will increase the profitability and based on this the survey would be conducted. The results of analysis of the data will reveal whether the hypothesis was correct or incorrect. This unit will cover the basics of hypothesis and its testing; the steps required to test the hypothesis. This unit will also cover the types and characteristics of hypothesis and the like. Objectives After studying this unit, the reader will be able to: Understand the basic concepts of hypothesis Understand the various types and the characteristics of hypothesis Understand the steps involved in the testing of hypothesis Understand the two tailed and the one tailed tests involved in the testing of hypothesis Understand the criterion when to accept or when to reject the hypothesis Understand the manner in which decisions are to be taken on the basis of the results arrived during the process of testing of hypothesis 6.2 Defining Hypothesis In order to discuss the basics of hypothesis testing in detail let us now, define what is meant by hypothesis. Simply speaking, hypothesis is a unit of the inferential statistics (i.e. the branch of statistics which is used to infer information on the collected data) which is used to test a claim about the larger portion (which is called population) based on the data collected from the smaller part known as sample. In other words hypothesis testing is the process of staking claim based on the values obtained from the sample. Let us take an example in order to drive home the point illustrated above. A manufacturer involved in the manufacturing of types claims that the average life of their tires will last at least 70,000 kms. We want to test the claim made by the manufacturer. The process we will adopt is to take a sample of tires, run them until they see how many kms. on average they have lasted. If the sample has lasted over 70,000 kms, then we do have the reason to believe that the claim is correct and that all the other tires they produce will also last 70,000 kms. miles. In arriving at this conclusion, we may commit the following We may incorrectly say the tires do not last at least 70,000 kms when in fact they do last We may incorrectly say the tires do last at least 70,000 kms when in fact they do not Thus, we may commit some errors during the process of staking the claim to the hypothesis we have formulated. This aspect will be covered in next section Self Assessment Questions True or False Managers are required to make decisions Hypothesis is an assumption about something which is taken to be true We may commit some errors in the process of testing of hypothesis 6.3 Characteristics of Hypothesis Having understood the definition of hypothesis, let us now understand the characteristics of hypothesis. The following are the characteristics of hypothesis. A hypothesis is based on reasoning which appears to be justified This simply means that the hypothesis we have formulated should be based on the previous research and the hypothesis should follow the most likely outcome not the exceptional outcome. For example, we should form the hypothesis regarding the launching of new product on the basis of the previous data which was analysed and which prompted us to take further steps such as market research and the like A hypothesis should provide a reasonable explanation for the outcome which is to be predicted This means that the hypothesis formulated should not focus on the unrealistic outcome i.e. the hypothesis should be based on the realistic scenario. For example, an hypothesis such as our new software will surpass the sales of the software dealer who is leading the software market or that our software will sell very well on the surface of the moon. All these are unrealistic. A hypothesis should clearly state the relationship between the variables that are defined This simply means that the hypothesis should not be vague. It should be in plain simple terms and in a language which is simple to understand. For example, the hypothesis that the MIS report will be printed somewhat in 3 to 4 minutes is ambiguous and confusing. A hypothesis defines the variables measurable terms This means that the hypothesis focus on the aspects such as who all would be affected; who are the players in the process and the like. For example, hypothesis, that the product will work correctly for 2 months for small children. A hypothesis is testable in a given or sufficient amount of time This means that the hypothesis is tested within a finite amount of time. An hypothesis which cannot be tested within the finite amount of time will never be tested nor accepted Self Assessment Questions Fill in the blanks A hypothesis is _________ in a given period of ______________ Hypothesis defines __________ in measurable terms Hypothesis should define the ________ between the variables 6.4 Types of Hypothesis Having understood the basic terminology of hypothesis let us now discuss the types of hypothesis. Though we have just scratched the types of hypothesis, let us now go deeper into the detail of types of hypothesis. Hypothesis are of various types. Some of them are discussed below Null hypothesis Alternate hypothesis Simple Hypothesis Complex hypothesis Null Hypothesis This hypothesis is formulated when the statistician believes that there is no relationship between two variables or when there is insufficient information to formulate a state a research hypothesis. It is denoted by H0 Alternate hypothesis This hypothesis is the opposite of Null hypothesis. it is formulated then the researcher believes that there is sufficient information to believe that there is relationship between the variables. It is represented as H1 or H µ Simple hypothesis This hypothesis predicts the relationship between an independent variable and a dependent variable. Both the variables must be single variables    Complex hypothesis This hypothesis is used to predict the relationship between two or more independent variables and two or more dependent variables Examples of different types of Hypothesis Health related education programmes influence the number of people who smoke Newspapers affects peoples living standard Absenteeism in classes affects exam scores Lower levels of exercise is responsible for increase in weight Self Assessment Questions True or False Complex hypothesis is used to predict the relationship between two or more independent variable with two or more dependent variables Alternate hypothesis is opposite to null hypothesis 6.5 Hypothesis Testing Having understood the various types of hypothesis let us dwell on the important point of hypothesis testing. As stated above hypothesis means that we verify the claim on the larger unit based on the data and the results obtained by performing statistical tests on the data. let us now look at the steps involved in the testing of hypothesis. the following are the steps : Describe in a statement about the population characteristic for which the hypotheses is to be tested State the null hypothesis and depict as Ho State the alternative hypothesis depict it as H1 or Ha Identify and display the test statistic that will be used Identify the region of rejection region Is it on the upper, lower, or on the two-tailed test Determine the critical value that will be associated as a, the level of significance at which the test is to be conducted Compute the quantities in the test statistic State the conclusion based on the computed statistics meaning that it is now to be decided as to whether reject the null hypothesis, Ho, or accept the alternate hypothesis. The conclusion is dependent on the level of significance of the test. Figure 1 provides a graphical view of the steps involved in the testing of hypothesis Figure 1 Steps involved in the testing of hypothesis 6.6 Difference between Null Hypothesis and Alternative Hypothesis In the previous units we have understood the basics of null hypothesis and alternative hypothesis, let us now discuss the difference between these types of hypothesis. the following are the differences Null hypothesis is used to describe the prediction while alternative hypothesis describes other possible outcomes. For example, if we predict A is related to B which is null hypothesis while the alternative hypothesis will be A is not related to B meaning that A can be teacher of B, A can be mentor of B and so on The alternative hypothesis can be negative but it does not necessarily mean a negation of null hypothesis but rather that it is a measure of finding out whether the null hypothesis is true or not meaning that whether it should be accepted or it should be rejected Alternative hypothesis provides an opportunity to look at other things and other possibilities where as null hypothesis provides the presence or absence of the same meaning that when we deal with null hypothesis our focus becomes restricted while in the case of alternative hypothesis our focus needs to be wider 6.7 Decision Rule Decision rules are the procedures that enable us to determine whether the findings of the observed samples are in sharp contradiction i.e. there is significant difference from the results that were expected and which will thus help us to decide whether to accept or reject hypotheses are called rules of decision or simply decision rules. Let us take an example in order to illustrate what has been said with regard to decision rule. Suppose that we toss a coin 50 times and get head 42 times and if we had the null hypothesis that the coir is fair. Now in this scenario, there is sufficient reason to believe that the coin is biased based on the output obtained although we may be wrong in this manner. In the current scenario, the observations are saying something else in comparison to our hypothesis, hence, we are in a dilemma as to accept or reject the hypothesis. Procedures , which assist us in deciding whether to accept or reject the hypothesis when there is significant difference between the observed and the stated are know an Decision Rules. Type I and Type II errors It is in situations like the above, that we may commit errors or mistakes which are classified as Type I or Type II errors. Type I error is when we reject the hypothesis when it should have been accepted Type II error is when we accept a hypothesis when it should have been rejected From the above definitions, in both the cases a wrong decision has been made. Hence, it becomes imperative that we need to minimize the errors while making decisions. Level of Significance While testing the given hypothesis the maximum risk that we can take for Type I error is called the level of signi ¬Ã‚ cance of the test. This is denoted by Greek letter Alpha ÃŽÂ ±. It is decided before hand so that they do not influence the choice of our decisions. 6.8 Two tailed and one tailed tests In order to understand the concept of two tailed and one tailed tests, consider the following scenario. Let us have a null hypothesis H0  and an alternative hypothesis H1. We want to conduct the test and determine whether we should reject the null hypothesis in favour of alternative hypothesis. Thus, we have two different types of test which can be performed viz. One Tailed test and Two Tailed test One-tailed  test seeks to look for an increase or decrease in the parameter under consideration while two-tailed  test seeks to look for any change in the parameter We can carry out the test at any level 1%, 5% or 10% are the common levels. For example, when we perform the test at a 5% level it means that there is a 5% chance of wrongly rejecting H0 that is null hypothesis on the other hand If we perform the test at the 5% level and decide to reject the null hypothesis, we say that there is a significant evidence at 5% to suggest that the hypothesis is false. One-Tailed Test For the one tailed test we choose a critical region. In a one-tailed test, the critical region will have one part. If the sample value lies in this region, we will reject the null hypothesis in favour of the alternative On the other hand , if we want to look for definite decrease. Then the critical region will be to the left. Example Suppose we are given that in a  Poisson distribution  and we want to test hypothesis on the mean,  based upon a sample of observation 3. Suppose the hypotheses are: H0:  l  = 9   H1:  l   We want to test if it is reasonable for the value observed to be 3 to have been derived from Poisson distribution with having a parameter value of 9. What is the probability that the value as low as 3 has come from a Poisson distribution have the value 9? P(X  Ãƒ ¢Ã¢â‚¬ °Ã‚ ¤ 3) = 0.0212 (this has been obtained from Poisson table) The probability is less than 0.05, which means that there is less than a 5% chance that the value has come from a Poisson(3) distribution. The null hypothesis should be rejected in favour of the alternative at the 5% level. Two-Tailed Test In a two-tailed test, we look for either an increase or a decrease. Hence, for example, H0  might be that the mean is equal to 9 (as before). This time, however, H1  would be that the mean is not equal to 9. So, In this case, therefore, the critical region has two parts: Example Lets test the parameter p of a  Binomial distribution  at the 10% level. Suppose a coin is tossed 10 times and we get 7 heads. We want to test whether or not the coin is fair. If the coin is fair, p = 0.5 . Put this as the null hypothesis: H0: p = 0.5 H1: p à ¢Ã¢â‚¬ °Ã‚   0.5 Because this is a 2-tailed test, the critical region also has two parts. Half of the critical region is to in the right and other half is in the left. So the critical region contains both the top 5% of the distribution and the bottom 5% of the distribution (as we are testing at the 10% level). If H0  is true, X ~ Bin(10, 0.5). If the null hypothesis is true, what is the probability that X is 7 or above? P(X à ¢Ã¢â‚¬ °Ã‚ ¥ 7) = 1 P(X Is this in the critical region? No- because the probability that X is at least 7 is not less than 0.05 (5%), which is what we need it to be. So there is no significant evidence to reject the null hypothesis at 10% level of significance 6.9 Procedure of Hypothesis testing Having understood the basics of hypothesis, let us now dwell on the procedure which is to be followed in the testing of hypothesis. The following are the steps that are to be followed. State null hypothesis and alternative hypothesis State the level of significance. This gives us the tabulated values Select the appropriate test Calculate the required values for the test Conduct the test Draw the conclusions 6.10 Summary A hypothesis is necessary in todays business world as the managers are required to take decisions and they need to have a starting point Hypothesis is widely used in the conduct of market surveys The concept of sample and population is widely used in the testing of hypothesis Hypothesis is a unit of inferential statistics Hypothesis is based on reasoning which appears to be justified Null hypothesis is formed when there is n relationship between the variables Alternative hypothesis is the reverse of null hypothesis Decisions rules provide the basis for accepting the or rejecting the hypothesis Type I error is when we reject the hypothesis when it should have been accepted Type II error is when we accept the hypothesis when we should have rejected it 6.11 Terminal Questions What is the significance of hypothesis testing? What is meant by Type I and Type II errors? Explain with examples What is the difference between Null hypothesis and Alternative hypothesis? Explain the steps involved in the testing of hypothesis. 6.12 Answers Self Assessment Questions True False True Testable Time Variables Relationship True True 6.13 Suggested Reading Books Testing statistical hypothesis, Lehmann, Joseph Hypothesis testing with SPSS, Jim Mirabella Fundamentals of Statistics, Michael Sullivan Fundamentals of Statistics, S.C. Gupta Fundamentals of Statistics, Trueman Lee Kelly Introductory Probability And Statistical Applications, Meyer Fundamental of Statistics, Vol II, Goon, Gupta and Dagupta An Outline of Statistical Theory, Vol I, Goon, Gupta and Dagupta A Basic Course in Statistics, Clarke, Geoffrey and Cooke, John Wiley Sons Basic Statistics, Nagar Das Quantitative Techniques for Decision Making, Anand Sharma Statistics for economists: A beginning, John E. Floyd The Elements of Statistical Learning, Trevor Hastie, Jerome Friedman. Introduction to Statistical Thought, Michael Lavine Web Resources en.wikipedia.org/wiki/Statistical_hypothesis_testing www.slideshare.net/vikramlawand/test-of-hypothesis www.sagepub.com/upm-data/40007_Chapter8.pdf www.iasri.res.in/ebook//2/4-TEST%20OF%20HYPOTHESIS.pdf www.math.uah.edu/stat/hypothesis/index.html www.angelfire.com/wv/bwhomedir/notes/z_and_t_tests.pdf www.20bits.com/article/hypothesis-testing-the-basics www.amstat.org/publications/jse/v11n3/java/Hypothesis/ math.bu.edu/people/nkatenka/MA113/Lecture_10_Notes.pdf www.pstcc.edu/facstaff/jwlamb/Math1530/7.2rvsd.ppt 6.14 Glossary Aggregate  It is the collection of small units which results in one complete entity. For example the aggregation of the total inhabitants of towns and villages and mega cities results in the population of the country Alpha Level  The probability that the statistical test will find difference between the groups which is significant when there are none. This is also termed as the probability of making a Type I error or as the significance level of statistical test. Alternative Hypothesis  The hypothesis that states that there is some difference between two or more groups. It is the alternative to null hypothesis, which states that there is no difference among the groups. Analysis of Variance (ANOVA)  A test that determines whether the means of two or more groups is significantly different. Association  It is a type of relationship between objects or variables. Average  A single value which may be mean, median or mode and represents the typical, normal, or the middle value of a given set of data. Axiom  A statement widely accepted as truth. Bell-Shaped Curve  A curve which is the characteristic of a normal distribution, which is symmetrical about the mean. The area under the normal curve is 1.0. Beta Level  It is the probability of making an error due to the result of the chance variations when in actuality they are due to the differences of the result of the experimental manipulation or intervention. It is also referred to as the probability of making a Type II error. Bias  They are the influences that contribute to the distortions of the results Categorical Data  They are also referred to as the nominal data. They are for indicative purpose only Causal Analysis  An analysis that seeks to establish the cause and effect relationships between variables. Central Tendency  A measure that describes the central characteristic of the distribution. Comparability  It is the quality of two or more entities that are to be evaluated for their similarity and differences. Confidence Interval  A range of estimated values that provides the best estimate regarding the populations values. Confidence Level  It is the percentage which represents the number of times that a confidence interval will include the true population value. Consistency  It is the process in which similar responses are demonstrated throughout the activity / event. Constant  It is the value which does not change Descriptive Statistics  It is the basic statistics that is used to describe and summarize data. Focus Group  An interview conducted with a small group of people, all at one time, to explore ideas on a particular topic. Multivariate Analysis  It is the analysis of several independent variable on the dependent variable. Mutually Exclusive  It is when the happening of an event does not disturb or alters the happening of another event. for example, in tossing of coin, the appearance of head is mutually exclusive to the appearance of tail as any one of them say head, does not allow the other to happen simultaneously. Nominal Scale  It is a scale that allows for classifying of elements into several mutually exclusive categories which are based on defined features but no numeric. They are just used for identification purposes. For example, the shirts worn by players in a football match. The number on the shirts represent the identification of the player only. Normal Curve  It is the curve, which is bell shaped in structure. It is formed when the data having normal distribution is plotted. Normal Distribution  It is the distribution that describes a frequency distribution comprising of data points which resembles a bell shape structure. The normal distribution shows important properties that are necessary for performing various statistical tests for different types of applications. Null Hypothesis  It is the hypothesis that states that there is no difference among and between the groups. It is in sharp contrast to alternative hypothesis that states that between two or more groups there is some difference Observation Unit  It is the actual unit which is subjected to observation during the course of study. 6.15 Case study Let us assume that a manufacturer of the light bulbs wants to produce bulbs with a mean life of 1000 hours If the lifetime is shorter, he/ she will lose customers to his / her competitors; if the lifetime is longer, he / she will have a very high production cost because the filaments will be excessively thick. In order to see whether the production process is working properly a sample of the output is taken to test the hypothesis A two tailed test is used because he / she does not want to deviate significantly from 1000 hours in either direction. Therefore the null hypothesis is rejected.

Edgar Allen Poe :: essays research papers

Edgar Allen Poe   Ã‚  Ã‚  Ã‚  Ã‚  Who is Edgar Allen Poe? He was a 19th century American writer born to Elizabeth (â€Å"betty†) Arnold Hopkins and David Poe. (Internet source) Poe was an well-educated individual. He would attend a private school in London and then an academy in Richmond. Later being accepted to the University of Virginia, this however would not work out for him. He then would travel to Boston for work in which there would be none. Defeated he enlisted in the Army and soon regret the decision. Once out he would again try a military career, he was accepted to the U.S Military Academy. (Encyclopedia Britannica) This time he immediately regretting the decision. After his expulsion he entered a contest sponsored by the Baltimore Saturday Visitor. His story â€Å"MS. Found in a Bottle† â€Å"was considered to be the one of the world’s first science fiction stories, he won both the $50 prize and acclaim for its 24-year-old author.† (Internet source) He would then work at several different editorials, none of which really worked out for him. His dream though would be to own a magazine or paper of his own. He would come close twice but never succeed in keeping them alive due to his different habits.   Ã‚  Ã‚  Ã‚  Ã‚  What made Edgar Allen Poe? Through his lifetime many different misfortunes and disasters would strike him. All of these would shape him and his writing to what we now associate as the father of modern diabolic fiction. (Internet source) The first of the tragedies to plague him would be the abandonment by his father. He would grow never knowing who his real father was. His father had left his family when Edgar was only an infant. The next misfortune would be the death of his mother when he was three. There was yet another factor that would shape him throughout his lifetime. He would also come how from his studies in England to find that his sweetheart from childhood was engaged. This caused him to write his first serious poem â€Å"Tamerlane† out of heartbreak. His luck with women throughout his lifetime would be rather in the bottom end of the barrel. He would eventually marry Virginia Clemm, his thirteen-old cousin. He would later lose her to tuberculosis and stop writing for a while, only to concentrate on â€Å"Ulalume† to express his mourn. He would try to remarry on two different occasions the first was ruined by rumor the second by his drinking habit.

Tennesee Williams

All writer use to one degree or another elements of their life to help formulate their characters and stories, but Tennessee Williams seems to draw more from his personal experiences than most. After reading â€Å"The Resemblance Between a Violin Case and a Coffin† and doing some background research on the author it becomes quite clear that he wrote this story as a reflection of his life. The similarities between the narrator/boy in the story and Tennessee himself are quite obvious, as well as other characters and members of his family.There are many specific aspects of Tennessee’s life that make â€Å"The Resemblance Between a Violin Case and a Coffin† a story that he is uniquely if not exclusively able to write. The first and most obvious similarity between Tennessee and the story is that the main character of the story is a boy, but not only a boy, a boy who is starting to discover that he is attracted to men and may be a homosexual. This is obviously an area that Tennessee can relate to because he too was gay.But that single factor does not make the author unique in being able to write the story. What makes Tennessee specifically qualified to write the story is the time and place that he experienced the realities of being a boy discovering his sexuality. Tennessee was born in the deep south of Columbus, Mississippi on March 26, 1911. This time in history is known for being intolerant of homosexuality, and if there was one region that stood out the most for this intolerance it would be the south.Even today Mississippi is considered one of the least tolerant states being ranked 38th on The Daily Beast’s ranking of most tolerant states(thedailybeast. com). In fact Mississippi was one of the states that continued to practice sodomy laws until 2003 when the supreme court ruled it unconstitutional (thetaskforce. org). Growing up gay in the American south at this time would be riddled with hardships that few other places could match.For example Tennessee probably felt an obligation to hide his sexuality or suffer dire consequences. This would most likely result in awkward and strained relationships with members of the same sex. This can be seen in the story whenever the boy runs into Richard, â€Å"When he turned to me and held his enormous hand out, I did a thing so grotesque that I could never afterward be near him without a blistering sense of shame. Instead of taking the hand I ducked away from him. †(Kenison, 318).This shows an insight into the life of a young Tennessee that feared being exposed if he were to talk to a boy he was attracted to. Another example in the story of the struggles of the author can be seen when the boy says, â€Å"How on earth did I explain to myself, at that time, the fascination of his physical being without, at the same time, confessing to myself that I was a little monster? †(Kenison, 319). This shows the authors denial of his sexuality and his view at the time that it was monstrous to be gay.Another area of resemblance between â€Å"The Resemblance Between a Violin Case and a Coffin† and Tennessee’s life is the similarities between characters in the story and member of his family, specifically his mother and sister. In â€Å"The Glass Menagerie† as well as many other of his works, Williams is suspected to base one of the character on his sister, â€Å"Amanda's daughter seems modeled on Rose Williams: the fragile Laura who retreats from reality to play with glass figurines. (amswers. com). Williams’s sister developed schizophrenia at some point in life which undoubtedly left a mark on Tennessee. The fragile nature in sister characters is seen as well in â€Å"The Resemblance Between a Violin Case and a Coffin†, â€Å"when my sister got up later than usual with an odd look, not as if she had been crying, although perhaps she had, but as though she had received some painful or frightening surprise†¦Ã¢â‚¬  (Kenison, 312).This fragility in her character in not only violin but his other stories shows the unique relationship between Tennessee and his ill sister. That relationship resulted in very specific character traits in some of his prominent female characters. Tennessee’s mother was also used as an influence in many of the characters in Tennessee’s works. Williams viewed his mother as a prototypical southern belle, constantly trying to climb the social ladder.He saw her as snobbish, neurotic, and hysterical and portrayed her that way with the characters she influenced. One such example in violin is when the boy compares the mother character to his aunt. â€Å"Though my mother would certainly never make verbal acknowledgement of my aunts superiority in matters of taste and definitions of quality, it was nevertheless apparent that she approached Knoxville and my father’s younger sister in something very close to fear and trembling. † (Kenison, 315).This d isplay of neurotic fear over refined social skills exemplifies the mother character in violin and through association the authors actual mother. Tennessee Williams story â€Å"The Resemblance Between a Violin Case and a Coffin†, in my opinion is a good story that reveals a great deal about the author himself. Through analyzing this story I acquired a much deeper and richer knowledge of Tennessee Williams than I have of many other authors. This is interesting considering I never even heard of him before reading the story.To conclude what I learned about Williams I would say that he was able to write violin because of the specific circumstances that he lived and persevered through, as well as the impression his mother and sister left him. Him being gay during the early 1900’s in the American south led him to write a story that offered an insight to a very different reality than my own that I would never had been aware of otherwise. For that widening of my horizons, I am thankful.

Journal Entry African American

Journal Entry of a Subordinate Group Member June 18th, 1963 Hello my precious unborn child. I am not really sure where to begin. The doctor is saying that I might not make it through this pregnancy but they will make sure you live to see this crazy world that we live in. I want to make sure that you understand your history and where you come from! What a journey our family has been through. They just don’t make it easy for an African American Family. Here we are and we have struggled just to make it here to the Deep South. We settled here in Ole Miss just like lots of other black folks and you would think that after they freed us from slavery they could just leave us be. I guess I should tell you a little about who we are and what we have been through so you have a clearer understanding. Well it started when we got here. Brought over on ships, our family was slaves to the white folk right here in Mississippi. There have always been stories told. Why, I remember when I was a little girl my grandma telling us the story of Nat Turner. (1998) He went on a rebellion right here in the South. He was on a mission fighting for what he believed in. He may not have gone about it the right way but he fought until his death on October 30, 1831. After that it seemed to be one person after the next until finally Abraham Lincoln issued the Emancipation Proclamation. This was issued in 1863. (1998)This was a valiant attempt at freeing the slaves here in the United States but it technically only freed slaves in the states that were under the jurisdiction of the Confederacy. You would think that would make things better. Nope! There was a 12 year period after that that they worked hard on trying to make things fair for us. Your great-great-grandma was around through the reconciliation period. She said that we were finally awarded citizenship and in 1870 an amendment went in that stated you could not deny us the right to vote because of our race. (1998) My great-Grandma told us that just when things started looking up†¦It got worse. The Democrats came in and changed everything. They started doing every thing that they could to put us back to having no rights. But we as a race stayed as strong as we could. What you have to remember is that making our way in this world has been and remains a consistent struggle. We made leeway though! A young lady buy the name of Sophia Packard and Harriet Giles were able to establish a college for the â€Å"Negros† as the white folk like to call us. This was the first college for African American females. Spelman College’s goal at the time was merely to teach black women to read and write. And that they have done. But here I sit in 1963. A 33 year old female who isn’t sure what is going to be in her future. They call us free. I have to ask myself daily though, â€Å"Am I really free? † I mean we have separate schools. We eat in separate restaurants. 2010) They give us totally different bathrooms to use and all this is because of the color of my skin. I look at this world and I think to myself, â€Å"I put my clothes on the exact same way as everyone else. † Should the color of our skin really make things so much different for us? Every single day we have leaders out there fighting for what is fair and what is right. Take M artin Luther King for instance. (2007) He is on a mission. He is part of a group called the SCLC. (Southern Christian Leadership Conference) He has made major strides. I mean in Montgomery Alabama the black folks get to ride on the same buses with the same rights as the white folks. I can only hope that by the time that you grow up and are able to read and understand all this that you look at all this and have a hard time believing it. As I sit here and write to you and I look across the street of this tiny little home I live in I see the neighbors and in their front yard is a cross that someone has lit on fire. Why, because today he walked a white girl to school. Rumors started and now everyone knows that this little girl likes him. Yet he is being punished for it. It shouldn’t matter. If there is one thing that you need to know and one thing that I can teach you through this letter it is to be you. Know yourself. Never let anyone tell you that you can not do something. Most importantly, remember that loves has no boundaries. It sees no color. It does not understand hate. It does not segregate nor does it discriminate. I hope that you never have to endure the hardships that we have to endure during these trying times. Always remember to live with no regrets and never look back! I love you with all my heart- Momma Works Citied Page African American Slavery (1998) Long Island University Retrieved from http://www. liu. edu/cwis/CWP/library/aaslavry. htm#turner Timeline Search for African American History (2010) Google Search Engine http://www. google. com/search? q=african+american+history&hl=en&sa=X&tbo=p&tbs=tl:1,tll:1850,tlh:1899&ei=lrPUS9avLoK78gbfpL3qDw&oi=timeline_histogram_nav&ct=timeline-histogram&cd=8&ved=0CIcBEMkBKAg History of African Americans Information Please Database. (2007) Pearson Education, Inc. Retrieved from http://www. infoplease. com/spot/bhmtimeline. html