Probability and statistics

Stat 3021 Practical Assignment Part 3 by Braden McDowell Introduction For the Stat 3021 project, I was interested in determining how NBA draft position impacted a player’s performance. More specifically, I aimed to determine “Do players drafted 1st overall tend to have a higher average win share per 48 minutes (WS/48 — see https://www.basketball-reference.com/about/ws.html for information on the calculation of this stat) than players drafted 2nd overall in their rookie seasons?” I hold a…

survived passengers 84.4671% more often are classified as belonging to class of survival than those passenger who have died. Finally, I will estimate such classification method as the Naïve Bayes Classifier that is based on determining probabilities for the outcomes. Implementing the full model, I receive some evidence of overfitting for the full model due to the high dimensions of the model. As implemented in a previous method, I will create a reduced model with the variables that were…

Beltway Shoe Company Statistics are everywhere, in business meetings in the form of graphs and charts, quality in the form of frequency of errors, and in the media as survey results and weather forecasts. Some folks may be nervous when they hear the word statistics; however, they are most likely using statistics and probability nearly every day of their life and not even notice it. Beltway Shoe Company is featured in this exercise reviewing the results of their Western and Eastern region shoe…

of 54,555 square miles. While in Wyoming, 2,207 police officers are employed for a land area of 97,813 square miles (U.S. Department of Justice 2011 and U.S. Census- Geography Product Branch 2012). The importance of the differences in these two statistics is that in New York there are roughly 1.5 police officers per square mile while in Wyoming there is not even one police officer per square mile. This idea is furthered when considering that in New York technically speaking a police officer only…

study tests the level of risk-taking each participants has. This study has a total of 90 balloons and these balloons are in three different colors—blue, yellow, and orange. Each of these colors have a different probability, but the participants are not told about the different probabilities. Step 3—Police Officer’s Dilemma Test The Police Officer’s Dilemma is different though. In the Police Officer’s Dilemma, the participants are provided with a picture of a black or white male holding either a…

Statistics Worksheet Part A Question 1 a) Below is the calculation for the Pearson product-moment correlation coefficient between the total number of problems correct and the attitude toward test taking. Total no. of problems correct (out of a possible 20): X Attitude toward test taking (out of a possible 100): Y (X - X ̅)² (Y - Y ̅)² (X-X ̅)(Y-Y ̅) 1 17 94 1.96 204.49 20.02 2 13 73 6.76 44.89 17.42 3 12 59 12.96 428.49 74.52 4 15 80 0.36 0.09 -0.18 5 16 93 0.16 176.89 5.32 6 14 85 2.56 28.09…

Students in the online sections should email their cases to their online TA. Name: Jennifer Johnson Zhao Jin OIS – 3440 Applications of Business Statistics Section “00” Instructor: Professor Tariq Mughal Case 10.1 Motive Power Company – part 1 Executive Summary In case 10 .1 Motive Power Company Part 1, manufacturing manager Cregg Hart is approached by another supplier for rivets. Motive Power is very keen on their quality and are interested in evaluating the new rivets by…

created on both the image. And then classify them to calculate overall accuracy and kappa coefficient. Confusion matrix is created based on these two classifications. Where: i = class x = n-dimensional data (where n is the number of bands). = probability that class occurs in the image and is assumed the same for all classes. = determinant of the covariance matrix of the data in class. = its inverse matrix. mi = mean vector. RESULTS AND DISCUSSION Primary Interpretation Data of 3…

non-stationary time-series variable may cause a spurious regression or non-sense regression (a symptom of spurious regression is that the R-square value is greater that Durbin-Watson test statistics) which is not desirable. After estimating the first regression, the R-square value is 0.99 while the Durbin-Watson statistic is 0.86. So if I continue with the data without correcting for non-stationarity, my estimated model will be a spurious regression model. I further checked for the stationarity…

the author carried out the research on the consumers of Indore City. Data was collected from household, college students, and various occupational categories. For seven days of the week the author used all type of consumers by testing both non-probability and quota sampling (Solanki, 2013, p.57).…