# Use Common Statistical Tests to Draw Conclusions From Data

Anonymous
account_balance_wallet \$25

### Question Description

PLEASE SEE ATTACHED FILES FOR ASSIGNMENT DETAIL AND INFORMATION!!!

Deliverable Length: 1,500 – 2,100 words.

Description:

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

### Unformatted Attachment Preview

Purchase answer to see full attachment

ProfJamesmiller
School: Purdue University

Hello again, I have just completed the assignment. Please find attached. It has been nice working with you. 😊

Running head: USING COMMON STATISTICAL TESTS TO DRAW CONCLUSIONS

Using Common Statistical Tests to Draw Conclusions from Data
Institutional Affiliation
Date

1

USING COMMON STATISTICAL TESTS TO DRAW CONCLUSIONS

2

Introduction
Analysis of the market before entrance is perhaps the most vital part of business
expansion. The entry is made seamless and product acceptance almost natural due to having a
clear knowledge of the market needs, behaviours, and characteristics. In today’s business world,
analysis of this data is becoming as important as collecting it. Many large businesses with the
ability to collect huge amounts of data from the consumers, even prospective ones, invest as
much in the analysis of the data. The ability to conduct a fast and precisely correct analysis of
data in order to come up with a forecast of market reaction and projection of sales and market
change is an ability every business strives to achieve. It gives the organization the ability to
command a niche and to seamlessly expand as it grows and changes to fit the needs of each and
every market it joins (Baker, 2014).
Recently, Big D Incorporated decided to join the Chicago market after a prior analysis
showed great potential for the outdoor sporting goods it seeks to sell. This time round, the
company’s board of directors requires a reaffirmation of the decision to expand into the market
using two product lines. This paper uses the null and alternative hypotheses to conduct Chisquared and nonparametric Wilcoxon signed-rank tests to show how similar, if not better, the
Chicago market is as compared to the national market. It utilizes datasets in demographic
distributions, annual income, academic levels, and transportation means of both the Chicago
market and the national market.
Hypothesis Testing Using Chi-Squared Testing
In the process of studying a large population of the market, that with less directly
accessible data, hypothesis testing is the best method to use. The process entails generating a
hypothesis, or a claim about the one attribute of the population being questioned, and subjecting

USING COMMON STATISTICAL TESTS TO DRAW CONCLUSION...

flag Report DMCA
Review

Anonymous
Thank you! Reasonably priced given the quality not just of the tutors but the moderators too. They were helpful and accommodating given my needs.

Brown University

1271 Tutors

California Institute of Technology

2131 Tutors

Carnegie Mellon University

982 Tutors

Columbia University

1256 Tutors

Dartmouth University

2113 Tutors

Emory University

2279 Tutors

Harvard University

599 Tutors

Massachusetts Institute of Technology

2319 Tutors

New York University

1645 Tutors

Notre Dam University

1911 Tutors

Oklahoma University

2122 Tutors

Pennsylvania State University

932 Tutors

Princeton University

1211 Tutors

Stanford University

983 Tutors

University of California

1282 Tutors

Oxford University

123 Tutors

Yale University

2325 Tutors