1. Imagine you are in charge of planning a campus chili competition among several cooking teams. You want to make sure there are enough plates of chili for all pre-paid testers. The school has a student body of 12,000. You have the following standard you must meet: a confidence interval of 99%, and an error of less thank 4 ounces per cooking team. Last years competition had a standard deviation of 30 ounces for the amount of chili cooked.

1. What is the necessary minimum sample size?
2. How is the sample size impacted if we change our confidence levels to 90%?
3. How is the sample size impacted if we change the error requirement to < 2 ounces per cooking team?
4. Explain how determining sample size for the campus chili competition represents statistical, financial and marketing challenges?

2. A manager wants to determine whether an amount of red paint contained in 1-gallon cans purchased from a store actually averages one gallon. The std deviation of the amount of paint is equal to .02 gallon. The manager chooses a random sample of 50 cans for the store and the mean amount of paint per 1-gallon can is .995 gallon.

1. State the null hypothesis. What is the research hypothesis?
2. With p= .05, determine if there is evidence from the sample paint cans that the store is cheating customers. Explain your conclusion.

3. Following is some information about ten respondents to a mail survey for M&M purchases. Use SPSS software to construct a cross-tabulation table of data. Develop an analysis of the findings. What do you conclude about the relationship between the two groups? Be as specific as you can. Submit a printout of you SPSS results.

Price: $10.69

Solution: The downloadable solution consists of 4 pages, 669 words and 2 charts.
Deliverable: Word Document