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A market researcher wants to test the following claims: 1 6 % of people in your city did not visit the local ice

A market researcher wants to test the following claims:

 16% of people in your city did not visit the local ice cream store last summer.

 46% of people in your city visited the local ice cream store 1-3 times last summer.

 25% of people in your city visited the local ice cream store 4-9 times last summer.

 13% of people in your city visited the local ice cream store more than 10 times last summer.

To test the claims above, the market researcher randomly selected 734 people from your city and observed the following:

 99 did not visit the local ice cream store last summer.

 376 visited the local ice cream store 1-3 times last summer.

 167 visited the local ice cream store 4-9 times last summer.

 92 visited the local ice cream store more than 10 times last summer.

Required:

A. Based on the information above, produce a Contingency Table.

B. State the Null and the Alternative Hypothesis.

C. Use the Chi-square goodness-of-fit to test the claim about the ice cream consumption of the people in your city. Use Alpha = 0.05.

 

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A nice problem in hypothesis testing A Contingency Table Here is the contingency table based on the observed data Did not visit Visited 13 times Visit... blur-text-image

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