# 2023 Type Individual Project Unit Use Common Statistical Tests to Draw Conclusions From Data Due Date Wed 4 25 18 Deliverable

Unit 3 IP AMDM 2023 Business & Finance

2023 Type Individual Project Unit Use Common Statistical Tests to Draw Conclusions From Data Due Date Wed 4 25 18 Deliverable

Type: Individual Project

Unit:  Use Common Statistical Tests to Draw Conclusions From Data

Due Date:  Wed, 4/25/18

Deliverable Length:  1,500–2,100 words

https://class.ctuonline.edu/_layouts/MUSEViewer/MUSE.aspx?mid=10756133

Based upon the input from Units 1 and 2, you have just received your next assignment that will contribute to your next decision. For the outdoor sporting goods client, based upon your prior decision as to either expand to the next market or retain your current position, justify your decision further utilizing the Chi-Square Distribution tool. One key criterion point: You do not have adequate data to formulate a full Chi-Square for the outdoor sporting goods client. However, you do have sufficient data to initiate this process. You are charged to demonstrate the initial steps of a nonparametric test that are qualitative. Utilizing the null and alternative hypothesis, further present your justifications for your selection and what it means beyond the mere formulas. What is this going to tell the Board of Directors and contribute to the decision-making process?

The following information may be helpful in understanding Chi-Square and hypothesis testing:

Chi-Square and Hypothesis Testing

Please review this helpful video. The presenter uses the “flip of the coin” and the “role of the die.” These are examples and analogies used in the CTU resources.

The following are assumptions you might make in this assignment that might make the assignment more helpful and make the responses more uniform:

• Continue to utilize the Big D scenario. Work under the assumption that the sample is based upon two different proposed product lines.
• Additionally, work under the assumption that the same demographics are utilized for each product.

Reference

Bozeman Science. (2011, November 13). Chi-squared test [Video file]. Retrieved from https://www.youtube.com/watch?v=WXPBoFDqNVk