Sunday, January 26, 2020
Data Prediction Strategy for ROSSMANN
Data Prediction Strategy for ROSSMANN Our task in this project is to predict 6 weeks daily sales for 1115 Rossmann stores located across Germany. Why is this important? This will help the stores maximize their profit by focusing on specific aspects to improve and help in inventory management to reduce operational costs. Missing data in Rossmann was identified initially. After fine tuning the data, we did some statistical analysis on it to explore the depth of data and find the major elements which are changing our values. We made sure that our results are not biased. Analysis such as Principle Component Analysis and Correlation Analysis has helped us know, in detail, about the data elements which are important to consider when predicting sales. We have validated the conclusions our group made in the previous presentation (exploratory analysis) about the data through the results of statistics. Many other conclusions can be drawn by just looking at the analysis in the following sections of this report. Furthermore, we did linear regression to see the relation between customers and sales. As expected sales increased linearly with the increase in the number of customers. However, it performed poorly for other variables due to the non-linearity of the data. In House Prices, there are a 79 factors over which we have to analyze the house prices. In order to first categorize the important factors influencing house prices, correlation analysis is done. Linear Regression and Step wise regression is also done to determine the important features for house prices in general, and in stepwise fashion. ANOVA was done for the neighborhood and house style to check whether the mean or individual house styles and neighborhoods was different or not. The standard hypothesis resulted false and it was displayed that individual neighborhoods and house-styles hold different average selling prices. The tests exhibited that 2.5 story houses were the priciest in house styles while 1 story houses were most popular. The NorthRidge neighborhood has the most expensive houses as per ANOVA, while North Ames comes out to be the most popular and one of the cheapest neighborhoods. Data prediction strategy for ROSSMANN (for next phase): To choose our prediction method for Rossmann we considered a number of factors. First being the size of the data. The Rossmann data is extremely dense with multiple variables. Second was which variables to use for prediction. For this we did a correlation analysis on minitab and found that customers, sales and promo were the most important hence we considered them. Third the data provides no customer information (just ids). Given the above factors we decided to use gradient boosting method for prediction (Jain, Menon, Chandra, n.d.). Although our model improves on accuracy the main tradeoffs are reduced speed and user interpretability. We will ignore the values for the days when the stores are closed to refine the prediction. Rossmann Data Statistical Analysis Strategy: Minitab was deployed to do statistical analysis such as Box Plot and Quantile Ranges, Histograms, Principle component analysis, Correlation analysis. Matlab was used to do linear regression of Sales Vs Customers. Statistical analysis was done to validate the hypothesis made in the Visualization Project and to explore the data in detail. House Price Data: Statistical Analysis Strategy: Minitab was used to do statistical analysis such as Stepwise Linear Regression, Correlation analysis, Residual Plots and Value Plots This report first covers the Rossmann Data exploration and then House Price exploration are presented. MISSING DATA: Table 1 shows the values of head to head analysis of data sets given in Rossmann. As shown, Store data in Test sheet is not covering the range of stores covered in Train. There are 11 records which does not give any information of whether those stores are open or they are closed. Figure 1 shows that there are clearly less number of days registered in year 2014 after the 27th week. The reason for this is the missing values of 180 store IDs from 27th week to 52nd week of 2014. Figure 1. Year wise trend of Data Registered Table 1 Head to Head Analysis of Data Sets Number of Unique Values Unique Values NA Value Quantity Field Name TRAIN TEST TRAIN TEST TRAIN TEST Store 1115 856 Day of Week 7 7 1,2,3,4,5,6,7 1,2,3,4,5,6,7 Date 942 48 Sales 21734 Customers 4086 Open 2 2 1, 0 1, 0, NA 11 Promo 2 2 1,0 0 State Holiday 5 2 0, a, b, c 0, a School Holiday 2 2 1,0 1,0 Missing data set is assumed to be unrelated to actual values and may not be important. The data size is also smaller than the original data set, so ignoring the missing data will not lead to a biased result. Therefore, we considered missing data to be missing at random (Sazontyev Lim, n.d.). STATISTICAL ANALYSIS Quartile Ranges Customers Figure 2. Box Plot of Customers Sales Figure 3. Box Plot of Sales Histograms Figure 4 and Figure 5 shows that our data is slightly right skewed. The frequency of customers and frequency of sales are higher when their values are low. Figure 4. Histogram of Customers Figure 5. Histogram of Sales Principle Component Analysis Figure 6 shows the results of PCA in form of Scree Plot. We observe that the major effect on sales is due to customers (Component 1). Second influencing factor is the Number of stores which are open (Component 2). Promotions (Component 3) are influencing our sales but to a very low extent. We will also prove this via correlation analysis in coming sections. Figure 6. Scree plot of Train Data set Correlation Analysis Figure 7 shows the results of correlation analysis of the Rossmann Data. Cellular colors represent the intensity of correlations between the components. In the later sections, this correlation analysis is used to verify the results presented in visualization project. Following are the prominent correlations: Table 2 Major Correlation Results Positive Correlated Components Correlation Value Negative Correlated Components Correlation Value Customers Sales +0.895 Sales Days of week -0.462 Store Open Customers +0.617 Customers Days of week -0.386 Store Open Sales +0.678 Stores Open Days of Week -0.529 Promo Sales +0.452 Promo 2 Competition Distance -0.146 Promo Stores Open +0.295 Competition Distance Sales -0.027 Sales School Holidays +0.085 Promotions School Holidays -0.067 Correlation Matrices: VERIFICATION OF VISUALIZATION RESULTS: Claim 1: Sales decrease over the week. Statistics Confirmation: This claim is verified through the correlation analysis. Correlation results of Sales Vs Day of Week is -0.462 (Table 2 and Figure 7). Which clearly shows the negative correlation between these entities. Figure 8. Day wise sales trend Claim 2: Not much difference in sales when schools are open or close.Claim 3: There are more Promotions when schools are open. Statistical Confirmation: Correlation between Sales and School Holidays is +0.085 (Table 2 and Figure 7). As seen in Figure 9, sales when schools are closed is slightly greater than the sales when schools are open. This slight difference is proven by the small value of the correlation between these components. Also, there are more promotions when schools are open (Figure 9). This is confirmed by the negative correlation of -0.067 (Table 2 and Figure 7) between promotions and school holidays. Figure 9. Sales and Promo Comparison on School Holidays Claim 3: Sales increase with promotions but decreases with increase in competition distance. Statistical Confirmation: Promotions and Sales are positively correlated by +0.452 (Table 2 and Figure 7). This positive correlation can be seen in the claim we made in last project (Figure 10). Orange peaks are the sales when the promotions are there. And mostly they are above the blue peaks. However, from Figure 10, we also observe that with increase in competition distance, our sales decreases. And this is validated by the negative correlation of -0.027 between sales and competition distance. Figure 10. Sales Trend with Competition Distance Linear Regression Linear regression results in Figure 11 (obtained from Matlab) and Residual analysis results in Figure 12 (obtained from Minitab) show how sales is regressing with respect to the customers. The R2 value obtained is 0.8, which depicts that our linear regression is close to the data. Linear regression equation and regression coefficients is shown below: B1 = 8.5238 à ¯Ãâà regression coefficient/slope b1 = 1.077 and b2 = 0.0074 à ¯Ãâà Regression Equation (y = 1.077 + 0.0074x) R2 = 0.8005 Figure 11. Linear Regression Figure 12. Residual Plot STATISTICAL ANALYSIS Regression Analysis à ¯Ã¢â¬Å¡Ã · Regression Equation SalePrice = -323176 200.5 MSSubClass 116.1 LotFrontage + 0.545 LotArea + 18697 OverallQual + 5227 OverallCond + 317.0 YearBuilt + 120.6 YearRemodAdd + 31.60 MasVnrArea + 17.39 BsmtFinSF1 + 8.36 BsmtFinSF2 + 5.01 BsmtUnfSF + 45.91 1stFlrSF + 46.68 2ndFlrSF + 34.2 LowQualFinSF + 8980 BsmtFullBath + 2490 BsmtHalfBath + 5390 FullBath 1119 HalfBath 10233 BedroomAbvGr 21931 KitchenAbvGr + 5440 TotRmsAbvGrd + 4375 Fireplaces 49.1 GarageYrBlt + 16788 GarageCars + 6.5 GarageArea + 21.5 WoodDeckSF 2.3 OpenPorchSF + 7.2 EnclosedPorch + 34.6 3SsnPorch + 58.0 ScreenPorch 61.3 PoolArea 3.85 MiscVal 224 MoSold 254 YrSold à ¯Ã¢â¬Å¡Ã · Regression Equation (STEPWISE) SalePrice = -714877 202.0 MSSubClass 106.7 LotFrontage + 0.545 LotArea + 18858 OverallQual + 6073 OverallCond + 326.0 YearBuilt + 31.29 MasVnrArea + 11.93 BsmtFinSF1 + 5.72 TotalBsmtSF + 46.77 GrLivArea + 9245 BsmtFullBath + 6171 FullBath 10759 BedroomAbvGr 22330 KitchenAbvGr + 5290 TotRmsAbvGrd + 4065 Fireplaces + 18107 GarageCars + 21.04 WoodDeckSF + 53.0 ScreenPorch 59.7 PoolArea Correlation Analysis SalePrice MSSubClass LotFrontage LotArea OverallQual MSSubClass -0.084 0.001 LotFrontage 0.352 -0.386 0.000 0.000 LotArea 0.264 -0.140 0.426 0.000 0.000 0.000 OverallQual 0.791 0.033 0.252 0.106 0.000 0.213 0.000 0.000 OverallCond -0.078 -0.059 -0.059 -0.006 -0.092 0.003 0.023 0.040 0.830 0.000 YearBuilt 0.523 0.028 0.123 0.014 0.572 0.000 0.288 0.000 0.587 0.000 YearRemodAdd 0.507 0.041 0.089 0.014 0.551 0.000 0.121 0.002 0.599 0.000 MasVnrArea 0.477 0.023 0.193 0.104 0.412 0.000 0.382 0.000 0.000 0.000 BsmtFinSF1 0.386 -0.070 0.234 0.214 0.240 0.000 0.008 0.000 0.000 0.000 BsmtFinSF2 -0.011 -0.066 0.050 0.111 -0.059 0.664 0.012 0.084 0.000 0.024 BsmtUnfSF 0.214 -0.141 0.133 -0.003 0.308 0.000 0.000 0.000 0.920 0.000 TotalBsmtSF 0.614 -0.239 0.392 0.261 0.538 0.000 0.000 0.000 0.000 0.000 1stFlrSF 0.606 -0.252 0.457 0.299 0.476 0.000 0.000 0.000 0.000 0.000 2ndFlrSF 0.319 0.308 0.080 0.051 0.295 0.000 0.000 0.005 0.051 0.000 LowQualFinSF -0.026 0.046 0.038 0.005 -0.030 0.328 0.076 0.183 0.855 0.245 GrLivArea 0.709 0.075 0.403 0.263 0.593 0.000 0.004 0.000 0.000 0.000 BsmtFullBath 0.227 0.003 0.101 0.158 0.111 0.000 0.894 0.000 0.000 0.000 BsmtHalfBath -0.017 -0.002 -0.007 0.048 -0.040 0.520 0.929 0.802 0.066 0.125 FullBath 0.561 0.132 0.199 0.126 0.551 0.000 0.000 0.000 0.000 0.000 HalfBath 0.284 0.177 0.054 0.014 0.273 0.000 0.000 0.064 0.586 0.000 BedroomAbvGr 0.168 -0.023 0.263 0.120 0.102 0.000 0.371 0.000 0.000 0.000 KitchenAbvGr -0.136 0.282 -0.006 -0.018 -0.184 0.000 0.000 0.834 0.497 0.000 TotRmsAbvGrd 0.534 0.040 0.352 0.190 0.427 0.000 0.123 0.000 0.000 0.000 Fireplaces 0.467 -0.046 0.267 0.271 0.397 0.000 0.082 0.000 0.000 0.000 GarageYrBlt 0.486 0.085 0.070 -0.025 0.548 0.000 0.002 0.018 0.355 0.000 GarageCars 0.640 -0.040 0.286 0.155 0.601 0.000 0.126 0.000 0.000 0.000 GarageArea 0.623 -0.099 0.345 0.180 0.562 0.000 0.000 0.000 0.000 0.000 WoodDeckSF 0.324 -0.013 0.089 0.172 0.239 0.000 0.631 0.002 0.000 0.000 OpenPorchSF 0.316 -0.006 0.152 0.085 0.309 0.000 0.816 0.000 0.001 0.000 EnclosedPorch -0.129 -0.012 0.011 -0.018 -0.114 0.000 0.646 0.711 0.484 0.000 3SsnPorch 0.045 -0.044 0.070 0.020 0.030 0.089 0.094 0.015 0.436 0.246 ScreenPorch 0.111 -0.026 0.041 0.043 0.065 0.000 0.320 0.152 0.099 0.013 PoolArea 0.092 0.008 0.206 0.078 0.065 0.000 0.752 0.000 0.003 0.013 MiscVal -0.021 -0.008 0.003 0.038 -0.031 0.418 0.769 0.907 0.146 0.230 MoSold
Saturday, January 18, 2020
A Recommendation to join Alpha Phi Alpha Fraternity, Inc
In the pursuant of the above subject, I am writing this recommendation letter for Trevor Garrett. Currently I am a member of the Omicron Eta Lambda Chapter in Washington DC, a fraternity that instills strict brotherhood and career development (www.mulamba.org). My acquaintance with Trevor dates back to a couple of years back in Webster University where we were taking our master degree in Human Resource Management My interactions with him were at an academic level where he emerged as a person of impressive communication and inter personal skills. He has over time been of exemplary academic standing enabling him to achieve above average grade points. Looking at your minimum requirements for membership into the Alpha Phi Fraternity Inc. leaves me convinced that Trevor in an ideal candidate for membership, and the fraternity stands to gain much from his strong character and personality. He in turn I believe will have an ample and a clear opportunity to develop his career and religious ties. Trevor is of good character and of high moral and social standings, a fact I came to note in the many interactions during his master. His undergraduate course was taken from one of the few accredited universities in this nation and posses the level of academic background that your organization is looking for. It is my sincere believe that armed with the above qualities and qualifications. Trevor posses the zeal and abilities to make an excellent member of your organization. In case of any questions or reservations please donââ¬â¢t hesitate to call me. Yours Sincerely George Higgins Work Cited Alpha Phi Alpha. Fraternity, Mulambda chapter, Chapter, Washington D.C, September 18, 2007 from http://www.mulamba.org/page.php?page-id=15887 Ã
Friday, January 10, 2020
Examples of Process Analysis Essay Topics Ideas
Examples of Process Analysis Essay Topics Ideas Once you own a topic you want, you can get started outlining it to observe how well it will actually do the job. When selecting a topic, make certain you decide on a process topic that you understand best. On the flip side, if your topic is too narrow, you'll find it hard to compose a paper that's long enough. Just pick the category which suits you best and tackle because many topics as possible. The 5-Minute Rule for Examples of Process Analysis Essay Topics It's interesting that lots of students write introduction after they've written the full paper. As a student, you will need to master the art of selecting the correct essay topic. A great means to discover topics are to study your hobbies, interests, and strengths. Literature students read a good deal. Top Examples of Process Analysis Essay Topics Secrets An enjoyable thing about process analysis essays is that you may even compose an essay about ways to write process a nalysis essays. In the event you will need process analysis essay writing help then it may also be supplied by the Students Assignment Help at the very best price. Most the topics employed for writing process essays are associated with academics. There are various topics that one may use in writing process essays. The Examples of Process Analysis Essay Topics Chronicles There are two kinds of process essays. A methodical strategy is necessary to compose a process essay. The process essay explains stages in a sequence, which is the reason why transitional words should be used also. You could write a process analysis essay about ways to braid hair, but you could end up splitting hairs when it regards the process as a way to flesh out a lengthy enough essay. Up in Arms About Examples of Process Analysis Essay Topics? A process analysis essay denotes the form of academic writing, which has a thorough description of the specific process in the form of the step-by-step guide. If it's a process description, you must describe. Likewise you should make an effort to avoid comparing one process to another. After the introduction, you will start to describe the step-by-step approach. Tip Always have another person read your process analysis to ensure it is logical. Payment is called for at the moment you place your purchase. The New Angle On Examples of Process Analysis Essay Topics Just Released Effective process analysis plays a crucial part in developing that skill collection. Before learning how to compose a process essay of A level, it is vital to define the expression. With this much great advice around the internet business, it's a little bit of a challenge to narrow it down. Superior quality help to compose assignments instantly in the shape of emergency essay help is also feasible for the graduates. The one difference is the body of the essay as it isn't built in a kind of arguments and evidence. For example, if your process essay is all about making the very best shepherd's pie, consider drafting a paragraph on the best way to make the filling below and another paragraph on how best to create good mashed potatoes in addition to the lamb filling below. The conclusion should thoroughly describe the consequence of the process explained in the body paragraphs. There are special words and word combination utilized for analytical purposes which ought to be learned also. Characteristics of Examples of Process Analysis Essay Topics Start looking for something interesting and make sure you truly feel passionate about writing it to wind up with a great draft. As you finalize your topic choice, don't forget to pick a process you've completed many occasions and which you can explain to somebody else. What's more, you're likely to want to decide on a procedure that you're acquainted with but that the bulk of your readers aren't. The issue sets in in case you aren't provided a topic. In terms of the start of this kind of essay, it is far better to start it with the definition and role of military support. If at all possible, be sure you include things like an image of the said object you're planning to use if you wish to publish the said essay online. Finally, it's important to pick topics that one feels comfortable to write on so you can do justice to them. Before beginning to write, don't rush and think of process essay suggestions and topics you like. The part of a process analysis essay is to underline the procedure for performing a job, how something is reached or how an event occurred. The very first step is to list requirements for the procedure. Every step along the process ought to be described clearly. Describing the steps alone may be dull. The topic you select ought to be best for your intended audience. Fortunately, there are useful places where it's possible for you to get some fantastic essay examples that you could find some ideas from to accomplish an excellent paper that could impress your teacher. If students wish to compose an elaborate essay, they need to conduct a correct research and carry out the process themselves before actually explaining it to the reader. The Examples of Process Analysis Essay Topics Stories To sum up, in order to analyze a literary piece, you want the ability to be in a position to read between the lines of the job. Its products are ensured start-from-scratch originals. There are several sorts of expository essays, and each one among them has its particular purpose and tone. 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Wednesday, January 1, 2020
Stanley Milgrams Obedience Experiments Essay - 1777 Words
The complexities of a humanââ¬â¢s willingness to submit to another personââ¬â¢s will have intrigued mankind since the formation of societal groups. Only in recent history has there been any studies conducted which so completely capture the laymanââ¬â¢s imagination as the obedience experiments conducted by Stanley Milgram. As one of the few psychological experiments to have such an attention grabbing significance, Milgram discovered a hidden trait of the human psyche that seemed to show a hidden psychotic in even the most demure person. Milgram presents his startling findings in ââ¬Å"The Perils of Obedienceâ⬠. Publication created a great deal of discussion, with one of the more vocal critics being Diana Baumrind, who details her points of contention in theâ⬠¦show more contentâ⬠¦Prompted by this phenomenon, Stanley Milgram investigates this ââ¬Å"potent impulse overriding training in ethics, sympathy, and moral conduct.â⬠(Milgram 314) Milgram set up an ex periment in which he intended ââ¬Å"to test how much pain an ordinary citizen would inflict on another person simply because he was ordered to by an experimental scientist.â⬠(Milgram 314) Thereby, observations could be made of how long a person would continue to inflict pain. ââ¬Å"To extricate himself from this plight, the subject must make a clear break with authority.â⬠(Milgram 315) The basic premise of the study being to learn how an ordinary person reacts when put under pressure to cause great physical harm to a stranger through a series of simulated electrical shocks. However, the subjects are under the impression that they were participating in a study of memory and learning. This is where Diana Baumrind takes issue with Milgramââ¬â¢s study. She feels that ââ¬Å"by volunteering, the subject agrees implicitly to assume a posture of trust and obedience.â⬠(Baumrind 326) Basically, Baumrind feels that the setting of a fairly innocuous sounding experiment i n a safe, controlled environment of a lab causes the subject to have a false sense of safety in the experimenterââ¬â¢s experience. Therefore, the experiments are prone to produce skewed results, as well as potential psychological injury to the subject. Later analysis ofShow MoreRelatedStanley Milgrams Experiments On Obedience1386 Words à |à 6 PagesIn her article, ââ¬Å"Review of Stanley Milgramââ¬â¢s Experiments on Obedienceâ⬠, psychologist Diana Baumrind criticizes Stanley Milgramââ¬â¢s experiments on obedience to authority, stating that not only were Milgramââ¬â¢s experiments unethical but so was the scientist himself, claiming that he did not take appropriate measures to properly ensure his subjectââ¬â¢s wellbeing post-experiment and therefore, experiments such as these should not be repeated. Baumrind does address an important point in her review and that isRead MoreComparing Views on Stanley Milgrams Experiment on Obedience991 Words à |à 4 PagesIn 1 963 a psychologist named Stanley Milgram conducted one of the greatest controversial experiments of all time. Milgram tested students from Yale to discover the obedience of people to an authoritative figure. The subjects, whom did not know the shocks would not hurt, had to shock a ââ¬Å"learnerâ⬠when the ââ¬Å"learnerâ⬠answered questions incorrectly. Milgram came under fire for this experiment, which many proclaimed was unethical. This experiment of Milgramââ¬â¢s stimulated the creation of several responsiveRead MoreDeliberating Experiments on Obedience Essay1165 Words à |à 5 PagesIn 1963 Stanley Milgram, a Yale psychologist, created an experiment examining obedience. This experiment has been questioned by many psychology professionals. One psychologist Diana Baumrind transcribes her beliefs in the ââ¬Å"Review of Stanley Milgramââ¬â¢s Experiments on Obedience.â⬠Baumrind, when writing the review, was employed at the Institute of Human Development, Univ ersity of California, Berkeley. In her review Baumrind denounces Milgram for his treatment of his subjects, potentially harming theirRead MoreObedience Is, As Stanley Milgram Writes, ââ¬Å"As Basic An Element1219 Words à |à 5 PagesObedience is, as Stanley Milgram writes, ââ¬Å"as basic an element in the structure of social life as one can point toâ⬠(Milgram 1). The act of obedience holds positive connotations, but the sometimes negative effects of blind obedience are explored in Stanley Milgramââ¬â¢s ââ¬Å"The Perils of Obedienceâ⬠and Diana Baumrindââ¬â¢s ââ¬Å"Review of Stanley Milgramââ¬â¢s Experiments on Obedience.â⬠Though Milgram does analyze how the subjects of the experiment blame their actions on the experimenters, Baumrind argues the bad effectsRead MoreThe Perils of Obedience, by Stanley Milgram1499 Words à |à 6 Pageswould you follow your direct orders? That is the question that Stanley Milgram, a psychologist at Yale University teste d in the 1960ââ¬â¢s. Most people would answer ââ¬Å"no,â⬠to imposing pain on innocent human beings but Milgram wanted to go further with his study. Writing and Reading across the Curriculum holds a shortened edition of Stanley Milgramââ¬â¢s ââ¬Å"The Perils of Obedience,â⬠where he displays an eye-opening experiment that tests the true obedience of people under authority figures. He observes that most peopleRead MoreAnalysis Of Stanley Milgram s Perils Of Obedience Essay1709 Words à |à 7 Pagesmanipulated the minds of masses for their own personal and political agenda. Still, many questions still remain prevalent as to how an individual reaches his or her decision on obedience in a distressing environment. Inspired by Nazi trials, Stanley Milgram, an American psychologist, questions the social norm in ââ¬Å"Perils of Obedienceâ⬠(1964), where he conducted a study to test how far the average American was willing to for under the pressures of an authority figure. Milgram s study showed that under theRead MoreZimbardos Psychological Experiment and Fromms Correlation942 Words à |à 4 PagesZimbardoââ¬â¢s Psychological Experiment and Frommââ¬â¢s Correlation Over 4 decades ago, a Stanford psychology professor named Phillip G. Zimbardo administered an experiment that re-created a prison environment. The goal of the experiment was to simply study the process by which prisoners and guards ââ¬Å"learnâ⬠to become compliant and authoritarian, respectively (Zimbardo 732). What would emerge from the ââ¬Å"Stanford Prison Experimentâ⬠article were more than just compliance and authority. The experiment gave rise to theRead MoreMilgram vs. Baumrind920 Words à |à 4 Pagesconsidered individuals but products of conformity. Stanley Milgram, a Yale psychologist, engineered an experiment to test the ordinary personââ¬â¢s level of obedience. Many of Milgramââ¬â¢s colleagues admired his intricate experiment, and thought that he provided valid information on the complexity of obedience. One of his colleagues, Diana Baumrind, however, strongly disagreed with Milgram and has good reasons to criticize his experiment. She thought his exp eriment was unethical and very harmful to the socialRead MoreThe Causes Of Obedience From Research By Milgram ( 1974 ) And His Contemporaries1360 Words à |à 6 PagesDescribe and explain what we can learn about the causes of Obedience from research by Milgram (1974) and his Contemporaries. Stanley Milgram was a Psychologist at Yale. Obedience is an essential part in the format of humanity, and itââ¬â¢s destructiveness has been investigated throughout time. Stanley Milgram organized a research to test the destructiveness of obedience however, Milgram wanted to investigate why ordinary people are keen to obey an authority figure and commit evil deeds even when itRead MoreA Critical Analysis Of Stanley Milgrams Experiment773 Words à |à 4 PagesAnalysis of Milgramââ¬â¢s Experiment How far will people go to be obedient? While some people are defiant, most people will go beyond imaginable measures to obey authority. Stanley Milgram conducted an experiment that tested human relations and authority. The experiment was scientifically sound and followed procedures but was very flawed. Milgramââ¬â¢s experiment consisted of an experimenter, a naà ¯ve subject, and an actor. The naà ¯ve subject is a volunteer who saw a public announcement stating that they would
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