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# (Solved): WPC 300 : Practical Exam (Oct 23 Update)...

Practical Exam
Started: Oct 23
Quiz Instructions

2021 PRACTICE TEST INSIGHTS AVAILABLE THROUGH THIS LINK

You can now get the summer 2021 version through this link

This exam has a total of four sections. You are required to use four sets of data to answer all the questions. Please see the individual instructions for each section. The total time allowed for this exam is 90 minutes. You must complete the exam in one seating. You will need JMP Pro and Excel software to analyze data and answer questions.
Note: This is an open book/note exam. You are expected to work individually to complete this exam before the due date. Getting help from outside resources other than what is made available to you via the canvas course site is considered a violation of the code of academic integrity for which you will be liable for the consequence. Remember the honor code.
Due date: 10/24 at 11.59 PM.

SECTION A:
Instructions:
•  Use the following data file for this section
Section A-Data [Dataset #1]
•  Remember the honor code.
•  In addition to responding to multiple-choice questions, you need to submit an updated data file with your name appended to the front of the filename (e.g. firstname_lastname_filename).
•    Create 2 new columns as follows:

•  The first new column shows the outcome when you calculate the total score for a school as a combination of 'critical reading mean' + 'mathematics mean' + 'writing mean'.
• The second column will use a vlookup() function to segment the performance of a school according to the following Table:
•
 Total score Performance 0-1099 D 1100-1199 C 1200-1399 B 1400+ A

Question 1                   15 pts
Create a pivot table on a new sheet to calculate how many schools were in each performance category. Show the outcome in both a table and a pie chart.
Screenshot of the 2 new columns (1 screenful is enough), pivot table output, and pie chart output (3 x 5 points).
Create a word document (that you will upload here) and paste those screenshot in sequence as follows:
1. Two-column output.
2. Pivot Table output
3.  pie chart output

Question 2                    5 pts
What is the average (with 0 decimal places) across all schools for the total score?

• 1233
• 1215
• 2115
• 1287

Question 3            5 pts
Which performance category has the greatest number of schools?

• A
• B
• C
• D

Question 4               5 pts
How many schools were in the B category?

• 43
• 150
• 77
• 116

Question 5                       5 pts
What is the average SAT score for performance category D (0 decimal places)?

• 1008
• 1068
• 1041
• 1058

Question 6                   2.5 pts
Add your name to the Excel filename (as the first part of the filename) and submit the completed file.

SECTION B
Instructions:

• Use the following data file for this section.
• Section-B-Data [Dataset #2]
•  Remember the honor code.
• You must use JMP Pro to complete the analysis and respond to the questions in this section.
• In addition to responding to multiple-choice questions, you need to submit an updated data file with your name appended to the front of the filename (e.g. firstname_lastname_filename).
• For this dataset, create a new column 'Total SAT Score' which is a combination of 'critical reading mean' + 'mathematics mean' + 'writing means'.

Question 7         5 pts
What is the 95% confidence interval for the population mean of the total SAT score?

• 1197.37 & 1232. 38
• 1109.00 & 1259.25
• 1747.42 & 1968.25
• 1101.12 & 1239.45

Question 8                   5 pts
It is generally believed that the mean value of the district's total  SAT score distribution is less than or equal to 1200 (the null hypothesis). You seem to disagree. Perform the appropriate test with a 5% margin of error. What is the corresponding p-value?

• 0.0324
• 0.0956
• 0.0478
• 0.9522

Question 9                      5 pts
Perform the appropriate test with a 5% margin of error and take a screenshot. Make sure your name is visible in the screenshot. Upload the screenshot here.

Question 10                        5 pts
Based on the test, what can we conclude about the district’s total SAT mean score?

• We reject the null hypothesis
• We fail to reject the null hypothesis
• We accept the null hypothesis
• We do not have enough information to make a judgement on the null hypothesis

Question 11                    5 pts
If our null hypothesis for the district mean score is that the mean of total SAT score is more than or equal to 1200, what would you conclude form your statistical test (with an alpha level of 5%)?

• We reject the null hypothesis
• We fail to reject the null hypothesis
• We accept the null hypothesis
• We do not have enough information to make a judgement on the null hypothesis

Question 12                         5 pts
What is the median (with 1 decimal place) across all schools for the total SAT score?

• 1214.9
• 174.9
• 8.9
• 1170.0

Question 13      2.5 pts
Add your name to the JMP filename (as the first part of the filename) and submit the completed file, including scripts for all of your actions for this section (B).

SECTION C
Instructions:

• Use the following data file for this section:
• Section-C-Data [Dataset #3]
• Remember the honor code.
•  You must use JMP Pro to complete the analysis and respond to the questions in this section.
• In addition to responding to multiple-choice questions, you need to submit an updated data file with your name appended to the front of the filename (e.g. firstname_lastname_filename).
• For each action that you are asked to do, ensure that you save the script for that action.

Question: The local school district is wondering if there is a difference among the 3 categories of the SAT test, critical reading, writing & mathematics. In particular, if the mean scores of each category of SAT test are different.

Question 14                  5 pts
What kind of statistical test would you perform to answer this question?

• T-test
• Z-test
• ANOVA
• Regression

Question 15                  5 pts
Perform an appropriate analysis to answer the following question.
What is the 95% confidence interval for the mean score (rounded up to the first decimal place)  in the critical reading category?

• 398.3 – 410.2
• 398.6 – 409.9
• 391.9 – 403.5
• 403.5 – 409.9

Question 16                      5 pts
Based on the appropriate statistical test, do you believe that mean SAT scores are different for different categories of tests (with a 5% margin of error)? Which of the following statements is true?

• You reject the null hypothesis and confirm that the means are same
• You could not reject the null hypothesis
• You reject the null hypothesis and confirm at least one of the means is different from the other
• You could not conclude anything

Question 17               5 pts
Provide a screenshot of the box plots, and results from oneway ANOVA test.

Question 18         5 pts
Which value (from the one way ANOVA test) would you use to either reject or not reject a null hypothesis?

• Adjusted R^2 in “Summary of fit” table
• Root Mean Square error in “Summary of Fit” table
• Mean square value in the “Analysis of Variance” table
• p-value in the “Analysis of Variance” table

Question 19               5 pts
Which of the following tables from a statistical analysis helps you learn if the mean SAT score of one category is significantly different from the other two categories?

• Summary of fit
• Means for one-way ANOVA
• Connecting Letter Reports
• Analysis of Variance

Question 20                    5 pts
Based on the interpretation of the analysis, identify which categories of mean SAT scores are significantly different.

• Mathematics is significantly different from Writing
• Writing is significantly different from Critical Reading
• Mathematics is significantly different from Critical reading
• Mathematics, Critical Reading and Writing are all significantly different from each other.

Question 21        2.5 pts
Add your name to the JMP filename (as the first part of the filename) and submit the completed file, including scripts for all of your actions in this section (C).

SECTION D
Instructions:

•  Use the following data file for this section
•  Section-D-Data [Dataset #4]
• Remember the honor code.
• You must use JMP Pro to complete the analysis and respond to the questions in this section.
•  In addition to responding to multiple-choice questions, you need to submit an updated data file with your name appended to the front of the filename (e.g. firstname_lastname_filename).
• For each action that you are asked to do, ensure that you save the script for that action.

Question: The loan manager would like to construct a statistical model to understand which one or more of the provided variables influence the amount of the loan requested. This information would help the bank to target those types of customers to promote their products such as a line of credit offer.

Question 22                     5 pts
What kind of statistical test would you perform to answer this question?

• T-test
• Simple logistic regression
• ANOVA
• Multiple linear regression

Question 23                   5 pts
What would be an example of a dependent and an independent variable respectively in this case?

• ‘Loan Status’ and ‘Credit history’
• ‘Applicant Income’ and ‘Loan Amount’
• 'Loan Amount’ and ‘Applicant Income’
• ‘Applicant Income’ and ‘Loan Status’

Question 24                              5 pts
Perform a multivariate correlation analysis using all the continuous variables in the data.
What is the correlation coefficient between ‘loan amount’ and ‘applicant income’?

• 0.170
• 0.039
• 0.551
• - 0.030

Question 25                     5 pts
Based on a standard least square regression analysis (assuming 5% margin of error) which of the following variables are NOT significantly influencing the variable ‘Loan Amount’ in the loan application process?

• Married
• Education
• Loan Amount Term
• Applicant's Income

Question 26              5 pts
Based on your analysis, which of the following variables have the most significant influence in predicting ‘Loan Amount’ in bank loan applications.

• Married
• Applicant Income
• Education
• Loan Amount Term

Question 27                 5 pts
In your final regression model, what is the proportion of variance for the variable “Loan Amount” that is explained by the significant independent variables?

• 0.66
• 41.00
• 0.41
• 0.38

Question 28                  5 pts
What is the regression equation for the final model? Get a screenshot and upload it here.

Question 29            5 pts
The loan manager would like to gain some understanding of customers who are likely to get their loan application approved. This will enable the branch to develop a strategy to market their product to the right customers. Based on the current data sample, what percentage of the graduate applicants got their loan approved?

• 70.4%
• 29.6%
• 39.2%
• 60.8%

Question 30             2.5 pts
Add your name to the JMP filename (as the first part of the filename) and submit the completed file, including scripts for all of your actions in this section (D).

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