The following dataset is an IBM Watson Customer Lifetime Value dataset obtained from Kaggle. It contains a sample of an internal database from an insurance company. The dataset contains detailed customer profile data, service (policy) customers purchased, vehicle information, claim information, and whether customers responded to a recent promotion. The additional information/attachment/tables/figures that is related to the question -to bet retrieved from: https://www.kaggle.com/pankajjsh06/ibm-watson-marketing-customer-value-data (please retrieve data from this link as the file cannot be uploaded here - it will take you directly to the download).

Use the data set for this assignment. Note - For sav files - Launch SPSS.

For this data analysis activity, the insurance company is evaluating the claim information based on gender and marital status. The company wants to study the following two research questions:

• RQ1: Do people of different gender groups differ in the total amount claimed?
• RQ2: Do people of different marital status differ in the total amount claimed?

To answer RQ1 and RQ2 :

Use SPSS to conduct a T Test and an ANOVA analysis between the variable Gender and Marital Status vs. Total Amount Claimed. In a Word document, respond to the following:

Write down all five steps for the T Test/ANOVA Test analysis you have completed.

• Discuss the strategic implication of the T Test/ANOVA analysis results.
• Paste the screen shots of the SPSS output of T Test/ANOVA Test.