1. Part 1 involves you employing four statistical procedures using the dataset. These tests should help illtuninate something about the potential customers, something that will help your company tailor its products and better understand its clients. The four tests you must use are the following: 1) Descriptive statistics, 2) ttest, 3) ANOVA, and 4) correlation. It is your job to assess the data and to employ the correct test given the types of data (hint: level of measurement) you have been provided in the dataset. For example, you might report on a sex difference, and would need to select a ttest to complete that analysis; you would also need to say whether or not the sex difference was significant, using SPSS for this as well. 2. Part 2 requires you to write up your results in a straightforward, easy-to-read manner (i.e., a report). Management has hired you to work through all the complicated statistics and analyses, and they just want to read a tight, wellwritten summary of who their potential customers are. You should make appropriate conclusions given your analyses from Part 1 and provide all the results in a non-technical, easytoread maiurer. That means your writeup will avoid including all the teclutical stats numbers from your SPSS output and just stick to simply explaining what the test tells us and whether it was significant or not. The most teclutical stats info you will include will be central tendency and variability (for descriptives) and the means for groups (t-testhNOVA) or variables (correlation). You might also consider providing some charts andfor graphs to help augment your conclusions. This report should be 3 pages of doublespaced text exactly