## Shiny practice items 'Statistics and business analytics', module 3

This app allows you to practice various aspects covered in this module.

Please make sure that you have fully completed the following tasks before continuing with this app:

1. Read the module's learning plan

2. Watch the topic videos and review the lecture notes

3. Work through the SPSS How to guide

The module has the following objectives:

1. Describe the basic idea of statistical hypothesis tests

2. Choose which test to use given the scale level of the variable

3. Carry out statistical hypothesis tests for population parameters by hand and with SPSS

4. Calculate sample sizes

Please proceed with the practice items by clicking on the links in the top bar of this app. It is not necessary to complete these items in order. We encourage you to work together with a classmate!

There are three types of practice items: theory ('TH'), SPSS ('SP') and multiple choice ('MC').

These practice items will help you come prepared to the lab and help you perform better on the quizzes.

Thus, you should complete these practice items before joining the lab meeting corresponding to this module.

MBA program
Peter Ebbes

#### Scenario

Suppose you just finished your studies at HEC Paris and you landed this fantastic job. It pays well. On the top of that you will receive a lucrative quaterly bonus if your work improves customer satisfaction. Your manager receives once a quarter the results from a random sample of customers who indicate their satisfaction with the company's product and services on a 0-100 scale.

Your first evaluation moment (and bonus?) is almost there! The target is to improve over the average satisfaction from last year, which was 75. There comes the email from your manager. You open it, and find that the average satisfaction is... 79!

#### Question 1

Of course, you deserve your first bonus! But you also know that your manager is strong with statistics. In your own words, is your first bonus a done deal based on the information provided in the scenario above? Why? Why not?

#### Question 2

Your manager computed the P-value and lets you know that the P-value is 0.0004. Can you now celebrate? Why? Why not?

#### Question 3

Suppose that the P-value was 0.88 instead. Does your conclusion change? Why? Why not?

#### Question 4

Suppose the P-value was 0.049. Should you get your bonus? Why? Why not?

#### Question 5

Suppose that the sample produced an average satisfaction of 75.8 and a P-value of 0.002. Would you celebrate? Why? Why not?

#### Question 1

Use a $\chi^{2}$-test for the scenario above.

#### Question 2

Use a t-test for the scenario above to test an hypothesis about $\pi$, where $\pi$ indicates the proportion of students that prefers the 9am class.

#### Purpose

##### Use SPSS to test hypotheses about the population. Follow the following managerial/research questions to further practice your SPSS skills. Let's do it!

In this module you learned about an hypothesis test for a mean and for proportions. SPSS can easily perform such tests for you (of course, you can also do them by hand, which is always a fun activity for a rainy Sunday afternoon!). It is always a good idea to write down the 6 steps on scratch paper, even when using SPSS. Practice conducting a t-test and a chi-square test with SPSS following two scenarios from the insurance claims and fraud mini-case (module 2, SPSS file 'mini_case_insurance_fraud_web.sav').

#### Question 1

Suppose the managers at the insurance company wanted to know whether the average claim amount this time period changed from previous time period. The accounting department reports that the average claim last year was $63500. What would your conclusion be? #### Question 2 Similarly, management was concerned about the distribution of claim types this year. Knowing what claims to expect helps the insurance company to plan their risk. One manager argued that there was a trend that the Theft/Vandalism claims went down, as well as Contamination claims, whereas other claim types (in particular wind and hail damage) went up (relatively speaking). The manager prepared the data from last year: W/H 22%, Water 14%, F/S 23%, Contamination 10%, T/V 31%. Is there evidence in the data to support the manager's claim? #### Topic #### Five multiple choice practice questions #### Lecture ##### Module 3, all topics #### Purpose ##### Test your knowledge about the subjects of this module. Let's do it! 1. The mayor of a city wants to assess the impact of the city's new public transportation system. She collects data on travel time (in minutes) from 130 persons and finds that$\bar{X} =23.4$and$S^{2} = 70.56$. Given the stakes, the mayor would like to have a confidence interval of plus or minus 1 minute. What sample size do you recommend using a confidence level 0f 99% (round to the nearest integer)? 2. Which of the following expressions best describes the significance level$\alpha$or its use? 3. Which of the following tests would you recommend to test$H_{0}: \pi_{1}=\pi_{2}=\pi_{3}=1/3$? 4. Joe finds in his sample that 100 users like the product (category 1) and 100 users do not like the product (category 2). His hypothesis is that, in the population, 60% like the product and 40% do not like the product. He uses a chi-square test to investigate this. What is the correct value for$E_{1}\$?

5. The approval rate of the president went down (measured as a grade on 0-100 scale). The opposition is bragging about it on TV. The study interviews 1000 individuals that are reprenstative of the citizens of the country. Before believing the opposition, what would you ideally need to know?