This week, we are looking at hypothesis tests using qualitative

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This week, we are looking at hypothesis tests using qualitative variables. All previous hypothesis tests have involved quantitative variables. Specifically, we are going to perform a Chi-Square Goodness of Fit unequal frequencies test. This test is used to compare an expected result to an observed one. This might involve comparing a survey taken 10 years ago to a recent one to see if results have changed. Unequal frequencies could also be used to compare a company’s claim about its product to a sample survey. The null hypothesis will be that the expected equals the observed and the alternative will be the expected is not equal to the observed. You will need to apply this wording to your problem (see the example).

To prepare for this Discussion:

Review the following resources:

Discussion Resources (click to expand/reduce)

Look at the data set that you used in Discussion 1 or 2. In order to do this week’s Discussion, you will need to have data involving qualitative variables. Likely, you will need to modify your data set. You may want to start over with a new data set as shown in the example below.

Example: (click to expand/reduce)

Review the rubric that will be used for grading.

With these thoughts in mind:

By Day 1

By the end of Day 1, you can post your scenario and data for your Instructor to review. If you don’t submit this by the end of Day 1, you will need to proceed to submit the entire Discussion on Day 3.

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This week, we are looking at hypothesis tests using qualitative

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