Testing of hypothesis case study
•Download as PPTX, PDF•
3 likes•6,295 views
This case study tests two hypotheses about customer satisfaction scores: 1) that the average satisfaction score for Samsunge customers is at least 75%, and 2) that the average satisfaction scores for Samsunge and Appleo customers are the same. Data on satisfaction scores for 100 customers from each company was provided. The approach is to use SAS to analyze the data, performing appropriate statistical tests on the Samsunge scores alone to test the first hypothesis, and a mean comparison test to analyze both companies' scores and test the second hypothesis. The results of the statistical tests will determine whether the null hypotheses can be accepted or rejected.
Report
Share
Testing of hypothesis case study
- 1. Testing of Hypothesis TH 101-Peer Comparison case study Venkat Reddy Konasani
- 2. Business Problem • This is a peer comparison project. Suppose that you are working for Samsunge in customer experience management team. The idea is to regularly monitor the customer satisfaction levels and peer company moves. The competitor company is Appleo. The objective is to test two main hypothesis. 1. The Samsunge Average customer satisfaction score is minimum 75%. 2. The overall average satisfaction score of Samsunge is same as Appleo. There is no significant difference in the satisfaction scores • It might be possible that both hypothesis are correct, one of them is correct or both of them are wrong. Perform the relevant testing to verify these assumptions CasestudiesbasedonthebookPractical BusinessAnalyticsusingSAS 2
- 3. The Data • The data is collected for 100 Samsunge customers and 100 Appleo customers. Their satisfaction scores are recorded. The sample represent the data and it is unbiased • Please download the data from below link • https://drive.google.com/file/d/0B7Zo00OSj1W6NDN0bzFBa1dmdDg/view?usp=sharing CasestudiesbasedonthebookPractical BusinessAnalyticsusingSAS 3 Sr No S_Cust_id Samsunge_Score Appleo_Cust_id Appleo_Score 1 S336499 94 A336525 82 2 S73004 99 A73011 83 3 S79537 74 A79538 88 4 S769168 74 A769222 80 5 S609791 83 A609801 74 6 S394037 87 A394057 82 7 S514183 89 A514215 88 8 S433504 83 A433564 92
- 4. Approach • Download the data and import it to SAS • Part-1 • Take Samsunge_Score Coolum • Identify the right test(Testing sample mean) • Accept or reject the null hypothesis based on P-value • Part-2 • Calculate the mean of Samsunge and Appleo • Perform mean comparison test / two sample equal mean tes • Accept or reject null hypothesis based on P-Value CasestudiesbasedonthebookPractical BusinessAnalyticsusingSAS 4
- 5. References • References: • Chapter -8 Testing of Hypothesis from the book Practical Business Analytics Using SAS: A Hands-on Guide http://www.amazon.com/Practical-Business-Analytics-Using- Hands/dp/1484200446 • SAS code from Chapter-8 of the book Practical Business Analytics Using SAS: A Hands-on Guide http://www.amazon.com/Practical-Business-Analytics-Using- Hands/dp/1484200446 • Case study id: TH 101-Peer Comparison • Discussion forum • Facebook: • https://www.facebook.com/pages/Practical-Business-Analytics-Using-SAS-A-Hands-on- Guide/1539167863021194 • https://www.facebook.com/groups/PracticalBusinessAnalytics/ • Blog : • http://practicalbusinessanalytics.blogspot.in/ • Slide share • http://www.slideshare.net/21_venkat CasestudiesbasedonthebookPractical BusinessAnalyticsusingSAS 5