To Kill a Mockingbird and the Merchant of Venice - 861 Words

Stereotypes are saying bad things about someone because they belong in a certain group or race Shakespeare’s The Merchant of Venice and Harper Lee’s To Kill a Mockingbird both are based on the theme of stereotypes. In the next 3 paragraphs I will talk about stereotypes in To Kill a Mockingbird, The Merchant of Venice, and finally compare the stereotypes in both. There are many stereotypes and these 2 stories contain many that are alike. One big theme in To Kill a Mockingbird is stereotypes. First of all there is a stereotype that scout should wear a dress and act more like a girl because she is a tomboy. Aunt Alexandra says this. â€Å"Aunt Alexandra was fanatical on the subject of my attire. I could not possibly hope to be a lady if I†¦show more content†¦Secondly in both stories there is one type of people with less rights than the others, black people in To Kill a Mockingbird and Jewish people in The Merchant of Venice. â€Å"I wants to know why you bringin’ white chillum to nigger church†(119).†I am a Jew. Hath not a Jews eyes? Hands, organs dimensions senses, affections, passions?(III,I,54-56).Here the black people have different church times as white people and Shylock explains that Jews are the same as Christians. Finally in To Kill a Mockingbird there are gender stereotypes where The Merchant of Venice doesn’t. Aunt Alexandra says Scout should wear dresses and act more l ike a girl.† Aunt Alexandra was fanatical on the subject of my attire. I could not possibly hope to be a lady if I wore breeches†(81). There are no gender stereotypes in The Merchant of Venice. There are man different stereotypes in these two stories but in the end they lead to different things. To Kill a Mockingbird leads to a man’s death with harmful stereotypes, The Merchant of Venice also has harmful stereotypes but leads to a greater theme, revenge, and comparing them they are very alike. What we learned is that stereotypes lead to revenge or others gettingShow MoreRelatedThe True Diary Of A Part Time Indian1572 Words   |  7 Pagesjudge that thing, person, or situation. Throughout my semester in English 10A, I have come across many situations in which appearance affects the thoughts or lives of characters in The Absolutely True Diary of a Part-Time-Indian, To Kill a Mockingbird, The Merchant of Venice, and our Holocaust Unit. The first book we read, The Absolutely True Diary of a Part-Time-Indian, appearance definitely played a roll. The biggest factor was the white people judging the poor Indians. They all immediatelyRead MorePrejudice, By, The Merchant Of Venice, And Real World Occurrences Such As The Holocaust978 Words   |  4 Pagespoint in history, and we are shown what this is like through novels, plays and book such as; â€Å"To Kill a Mockingbird†, â€Å"The Absolutely True Diary of a Part-Time Indian†, â€Å"The Merchant of Venice†, and real world occurrences such as the Holocaust. Today I will be talking to you about the ways that prejudice is portrayed in all four of the novels, plays and historic time marks. In â€Å"To Kill a Mockingbird†, Atticus is given a case where he needs to defend Tom Robinson, who’s accused guilty of rapingRead MoreHatred And Racism748 Words   |  3 PagesHatred can be seen in everyday life and in every single person on Earth, but can’t be stopped because you can’t change people’s feelings. Hatred is also shown in To Kill a Mockingbird, The Absolutely True Diary of a Part-Time Indian, The Merchant of Venice, and in the Holocaust. Hatred was shown multiple times in the Merchant of Venice. The first example of hatred was when Antonio spit on Shylock shown by the quote, â€Å" You call me misbeliever, cutthroat dog, and spet upon my Jewish gaberdine,† saidRead MorePrejudice in To Kill a Mocking Bird by Harper Lee Essay870 Words   |  4 PagesThe Jim Crow Laws were still in effect. Between 1876 and 1965 there was the segregation of public schools, washrooms, restaurants, parks, drinking fountains, and many more. â€Å"This case is as simple as black and white†, as Atticus Finch from To Kill a Mockingbird would say. It wasn’t fair at all, separating races even though they were born like that. In the end we all get die and get buried in the soil. In the end were all just chalk lines on the concrete. In the end we are all just human. Hath notRead MoreReaction Paper On Courage Essay1364 Words   |  6 Pagesthat doing both of these shows a lot of courage. Throughout this class we have read many books that have characters that show courage. There are themes of courage in The Absolutely True Diary of a Part-Time Indian, To Kill a Mockingbird, the Holocaust Unit, and The Merchant of Venice. The first book I am going to talk about is The Absolutely True Diary of a Part-Time Indian. In this book Junior decides to leave the Rez school and go to Reardan which is a white school. Doing this took a lot of courageRead MoreThe Absolutely True Diary Of A Part-Time Indian Revenge Analysis860 Words   |  4 Pages a group of men beat him while he was trying to raise money for charity. â€Å"I could handle the kicks. But the spit made me feel like an insect. Like a slug.†- Sherman Alexies â€Å"The Absolutely True Diary of a Part Time Indian† Page 79. In to â€Å"Kill a Mockingbird â€Å" the theme of revenge is not really present in most of the book, however, even in a book whose main theme is courage and standing up against adversity, some smaller parts involve characters with a lust for revenge. The biggest example of thisRead MoreEssay on Methods of Overcoming Prejudice in Society1115 Words   |  5 PagesChristianity. Nevertheless, there was an individual named â€Å" Bertrim Cates† who introduces another belief, the Darwin theory. The town despises Cates for believing in a belief that is different from the town. Another book that portrays prejudice is â€Å"The Merchant of Venice†. This play teaches individuals about prejudice and why it is wrong. People would see how everyone was hurt at one time or another by prejudice, whether it was the Christians making fun of Shylock or Shylock showing his prejudice to the ChristiansRead MorePrejudice And Prejudice By Maya Angelou1824 Words   |  8 Pagespoint in all the stories/movies, and it caused adversity for main characters. In The Absolutely True Diary of a Part-Time Indian, Junior faced adversity. In To Kill A Mockingbird, Atticus, Jem, Scout, and Tom Robinson all faced adversity. All Jews faced adversity during the Holocaust, and Shylock faced adversity in The Merchant of Venice. Because of this foul word we call prejudice, people in all types of books, and people all around the world, have adversity. Prejudice is bad, and all of these unitsRead MoreLiterary Theories And Literary Criticism1318 Words   |  6 Pagesauthor’s settings affected their work and how the literary work reflects on the author. †¢ Recognizes current cultural contexts, which helps critic’s to come to their conclusions about the literary work at hand. 2. †¢ Literary context/work: The Merchant of Venice. †¢ One wanted to know if the play written by Shakespeare, was anti-Semitic. †¢ One could not simply answer yes/no. Research needed to be done and the text needed to be studied and analysed. †¢ You needed to look into the cultural history of theRead MoreTo Kill a Mockingbird: Mans Inhumanity to Man Essay examples1666 Words   |  7 PagesA central theme in To Kill a Mockingbird, is man`s inhumanity to man. Many types of inhumanity – whether intentional or not – can be seen throughout this novel. Scout and Jem Finch as well as Dill treat Boo Radley with a level of inhumanity; however, their intentions are not cruel, merely childish and playful – as they are. However some examples of inhumanity found in the novel are not as innocent. An evident struggle that continues throughout the book, is the inhumanity black people suffer at the

Critical Event In Complex Financial System - MyAssignmenthelp.com

Question: Discuss about the Critical Event In Complex Financial System. Answer: Description of the data The data presents the stock prices from 8th Dec 2014 to 1st Dec 2016 (383 days). In addition, the data contains inputs from 8 independent variables and one dependent variable (future prices of McDonalds). For each of the 383 days the change in prices of the assets measured are: Copper Aluminium West Texas Intermediate Oil The Baltic Dry Index The Standard and Poors 500 Index of stock prices (the SP500) Also McDonalds future prices Most of the variables used to predict the future change are interaction variables. Moreover, some of the variables have a suffix vel or acc. vel followed by a number refers to the change in price in the number of days. acc refers to the change in velocity. Thus while copper would have referred to the price of copper, copper_acc1 would indicate how the price of copper accelerates (decelerates) over a period of 2 days. Similarly MCD_vel2 means the change in price of McDonalds going back one day. Variance Inflation Factor Variance inflation factor (VIF) is used to assess multi-collinearity in a data-set. Multi-collinearity refers to the phenomenon of correlation between two or more variables in multi-regression. In the situation that Multi-collinearity exists in a model, with the addition of more predictors the precision of the regression coefficient of the model decreases. The test for VIF showed that there is no or very low correlation between the input variables. The VIF for each of the 8 factors was found to be . PhSTAT software was used to find multi-collinearity. Thus it can be inferred that all the 8 response variables which are used to measure the future prices of McDonalds are independent and thus can be used in the model. Residual Analysis To assess the distribution in a data set the normal probability plot is used. The normal probability plot of the residuals shows that the data is normally distributed. Hence, it can be inferred that further calculations done with the data set would be valid. Figure 1: Normal Probability Plot of Residuals The histogram presented below represents the distribution of the residuals of multiple regression analysis. The histogram even though is not completely bell shaped but can be said to be normally distributed even though it looks like it has slight positive skewness. Generally, it seems that the residuals to the regression analysis are normally distributed, and thus further analysis and thus predictions can be done. Figure 2: Histogram of Residuals Analysis of Variance The output of ANOVA for multiple regression is presented in figure 3. Analysis of variance in multiple regression provides information about the relationship between predictor and response variables. From the figure it is seen that p-value is 3.43x10-12 which is much less than 0.05 (level of significance). Thus, the Null hypothesis is rejected. Hence, it can be said that there exists a relationship between the predictor and response variables. Thus, there is a linear relationship between the future prices of McDonalds and one or more of the 8 predictor variables. Figure 3: ANOVA Table However, the above figure does not tell us how strong the relationship is between the variables. The following section provides information regarding the strength of the relationship between response and predictor variables. Coefficient of Determination R2 The value of R2 is shown in figure 4. The proportion of variation in the response variable that can be explained by the predictor variables is 0.1712. Thus, 17.12% of the variation is the future prices of McDonalds can be predicted by the given model. Hence, it can be inferred that the model does not explain too much of the future prices of McDonalds. From the above figure it can be inferred that if the future prices of McDonald become unpredictable, then the value of R2 would be close to or equal to zero. In other terms we may say that the future prices are not all random (Sornette, 2017). Thus we are left to ask if the relationship between the input and output variables is strong enough to make a prediction. Hypothesis tests for the inputs The coefficients and p-value of the response variables is presented in figure 5. From the figure we find that except for Baltic_x_Copper_vel1 the p-values are less than 0.05. Thus except for Baltic_x_Copper_vel1 all the other variables have a significant relationship on the output. Figure 5: Coefficients and p-value of response variables Coefficients The second column in figure 5 presents the Coefficients which provides the information regarding how the input affects the future prices of McDonalds. We would ignore the y-intercept and thus investigate other variables as to how they affect the future prices. From the figure it is seen that the highest coefficient (0.9554) is for Year_x_Wheat which is an interaction variable which is created by multiplying The production of wheat The stock prices of wheat Though the values provided are open to interpretation but the values suggest that there is a seasonal variance in the values. When the production of wheat goes up then the stock prices is high and vice versa. Thus, it seems that the higher the prices of wheat the higher would be the prices of McDonalds. The largest negative coefficient (-1.2640) is for MCD_x_West_Texas. The variable presents the interaction between: The prices of West Texas and The prices of McDonalds. It is difficult to predict how the price of West Texas would affect the price of future shares of McDonalds but one can say that the higher the prices of West Texas oil the more McDonalds would have to spend to keep itself running. Thus the higher prices of West Texas would influence the stock prices of McDonalds. However, this explanation is subject to interpretation. Since, neither of the coefficients of the input variables are close to zero, hence it can be said that the input variables have a relationship with the output variable. Thus, there is no need to delete any input variable. Prediction of Tomorrows Share Prices The past data, confidence interval estimation is used to predict the future changes in prices of McDonalds, and further used to compare it with actual data. The variation in the predicted and actual prices of McDonalds is shown in Figure 6. From the above figure we find that there are differences in the predicted and actual values (blue highlighted). The bottom rows present 95% confidence interval for predicted and actual values of the future prices. The values are in the range of 0 to 1, thus the they are not very helpful. From the above interval it is seen that the actual y-value is within the limits of the confidence interval. Thus it can be inferred that the selected model does not have errors. The brighter side of the of the prediction is On 21st October 2015 the maximum change (increase) took place, and the model predicted a change of 0.56141. Hence the model predicts a substantiate change in future prices. Similarly, on 25th July 2016 the maximum change (decrease) took place. Yet again, the predicted model showed changes in future values. Thus the model is not devoid of predictive value. However, due to the low value of R2 the ability to with accuracy is reduced. Conclusion The data set is used to predict the future changes in the stock prices of McDonalds. From the VIF test it is seen that there is no correlation between the independent variables. The normal probability plot and Histogram shows that the residual of the multiple regression is normally distributed. From the multiple regression it is found that the value of R2 is 0.1712. Thus, it can be said that 17.12% changes in the future stock prices of McDonalds can be predicted by the following model. Moreover, from the ANOVA table it is seen that a significant relationship exists between the input and out variables. Figure 6 presents the predicted changes in future prices of McDonalds. There exist differences in predicted and actual prices. The difference in values is due to the fact that the value of R2 can predict only 17.12% change. The difference between predicted and actual could plausibly be reduced with a higher value of R2. References Sornette, D. (2017).Why stock markets crash: critical events in complex financial systems. Princeton University Press.