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# Classic One-Way ANOVA

Hi,

This is very confusing to me and I feel lost, can you help me find the answers to these questions:

1. A professor had students in a large marketing class rate his performance as excellent, good, fair, or poor. A graduate student collected the ratings and assumed the students that the professor would not receive them until after course grades had been sent to the records office. The rating (i.e. treatment) a student gave the professor was matched with their course grade, which could range from 0 to 100. The sample information is reported below. Is there a difference in the mean score of the students in each of the four rating categories? Use an los of 0.01.

excellent good fair poor

94 75 70 68
90 68 73 70
85 77 76 72
80 83 78 65
88 80 74
68 65
65

How do I do the 5 step Hypothesis procedure?

This is the Hypothesis setup:

1. Set up the null and alternative hypothesis.
2. Pick the value of alpha and find the rejection region.
3. Calculate the test statistic.
4. decide whether or not to reject the null hypothesis.
5. Interpret the statistical decision in terms of the stated problem.

Problem 2
Chi-Square-Goodness of fit: Equal expected frequencies

The CV is 7.82 for this problem

A total of 171 students were asked their drinking habits in college. The following data was found in the survey.

CLASS OBSERVED FREQUENCY

freshman 86
sophomore 36
junior 30
senior 19

TOTAL 171

USING THE 0.05 LOS IS THE DISTRIBUTION OF STUDENTS UNIFORM OVER CLASSES?

How do I do the 5 step Hypothesis procedure??

Hypothesis setup:
1. Set up the null and alternative hypothesis.
2. Pick the value of alpha and find the rejection region
3.Calculate the test statistic.
4. Decide whether or not to reject the null hypothesis.
5. Interpret the statistical decision in terms of the stated problem

THANK YOU!

#### Solution Summary

This solution provides a null and alternative hypothesis for each scenario and conducts a statistical test and decide whether or not to accept or reject the null hypothesis.

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