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Chi-squared tests on SampleDataSet.xlsx

Your final project entails systematic extraction of decision-aiding insights out of a dataset (SampleDataSet.xlsx) provided to you in the Doc Sharing area.

In this section, you will carry out the following basic estimation and tests of differences using the provided SampleDataSet.xlsx:

Identify three continuous and three discrete variables and describe their distribution numerically (e.g., central tendency, spread) as well as graphically. Compare the results.

Using the variables selected, conduct all possible t-tests and chi-squared tests. Describe your findings.
In addition, discuss how data limitations (e.g., missing values, etc.) can affect the validity and reliability of statistical estimations and tests of differences. Be specific. Show your work using Microsoft Excel and import your work into a Microsoft Word document.

Submit your response with imported Microsoft Excel work in a 3- to 4-page Microsoft Word document.

Name your document SU_MBA5008_W3_A4_LastName_FirstInitial.doc.

Submit your document to the W3: Assignment 4 Dropbox by Wednesday, May 14, 2014.

Cite any sources using the APA format on a separate page.

Assignment 4 Grading Criteria
Maximum Points
Identified and described three continuous and three discrete variables and described their distribution numerically as well as graphically.
20
Described the findings after conducting all possible t-tests and chi-squared tests.
20
Discussed how data limitations can affect the validity and reliability of statistical estimation and tests of differences.
10
Presented a structured document free of spelling and grammatical errors.
5
Cited all sources using the APA format.
5
Total:
60

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This solution is comprised of a detailed explanation of Chi-square analysis. This solution mainly discussed the below question:

Identify three continuous and three discrete variables and describe their distribution numerically (e.g., central tendency, spread) as well as graphically. Compare the results.
Using the variables selected, conduct all possible t-tests and chi-squared tests. Describe your findings.
In addition, discuss how data limitations (e.g., missing values, etc.) can affect the validity and reliability of statistical estimations and tests of differences.

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