FINAL PROJECT

Introduction

The tablet company you work for has been supremely impressed with your work thus far on the smaller datasets it has given you, and the problems you have been asked to solve. They now trust you enough to hand over a more sizable dataset and see what you can do. That is the purpose of this final project: to assess your ability to comb through a larger dataset and make some relevant conclusions about the information contained inside it.

Specifics

There are two parts to this project:

1. Part 1 involves you employing four statistical procedures using the dataset. These tests should help illuminate 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) t -test, 3) ANOVA, and 4) correlation. It is your job to assess the data and to employ the correct test given the types of data you have been provided in the dataset. For example, you might report on a sex difference, and would need to select a t -test 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, well-written summary of who their potential customers are. You should make appropriate conclusions given your analyses from Part 1 and provide all the relevant numbers and results. You might also consider providing some charts and/or graphs to help augment your conclusions. This report sho uld be 3 pages of double-spaced text exactly .

Project Format

Although this project offers you a vast amount of freedom in what you could report, you should stick to the following format within your 3-page report:

1. There should be a brief introduction to the report, previewing what will be covered and why the analyses were undertaken in the first place. This should remind management of your task.
2. The next paragraph should report on the descriptive statistics (or the "vitals") of the sample. How many people in the dataset, what are their average ages, their sex percentages, etc. Everything and anything that you deem relevant to answer the driving question " Who are our potential customers? " should be included. The more you include, the more information you’ll be providing to management, thereby helping answer the question.
3. The third paragraph should focus on tests of group difference, or the t -test and ANOVA analyses. What group differences did you find interesting or relevant to test? Were they significant? If so, which group was higher/lower and by how much? Remember, being clear and straightforward means giving relevant info that helps the reader understand what you did. You can run several t -tests and ANOVAs, swapping in multiple variables; the key here is that you performed the correct test.
4. The fourth paragraph should focus on the other type of test (a test of association), a correlation. Was there anything that was associated to something else? Again, was that association significant or not? How strong was the association? Management wants to know it all. Here, too, you can perform several correlations, given that a correlation is the appropriate test for the variables.
5. The final paragraph should be your conclusions as research team leader. What are the takeaways from the dataset? Was anything surprising or particularly interesting? This is your time to make recommendations about how the company can appeal to this Phoenix market, given this data. Also, you will want to wrap up your report with a few directions for future study, or possibly propose a product line or a marketing strategy given your analyses.

Price: $13.19

Solution: The downloadable solution consists of 8 pages, 519 words.
Deliverable: Word Document