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For each of the following examples, state whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate, and state the degrees of

For each of the following examples, state whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate, and state the degrees of freedom (df) for the test.

Part (a)

A student tests whether the professor's speaking style (monotone, dynamic) and student interest (low, average, high) are independent.

State whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate.

chi-square goodness-of-fitchi-square test for independence

State the degrees of freedom for the test.

df =

Part (b)

An instructor tests whether class attendance (low, average, high) and grade point average (low, high) are independent.

State whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate.

chi-square goodness-of-fitchi-square test for independence

State the degrees of freedom for the test.

df =

Part (c)

A health psychologist records the number of below average, average, and overweight individuals in a sample of college students.

State whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate.

chi-square goodness-of-fitchi-square test for independence

State the degrees of freedom for the test.

df =

Part (d)

A sports psychologist compares the number of athletes with Type or Type B personality traits.

State whether the chi-square goodness-of-fit test or the chi-square test for independence is appropriate.

chi-square goodness-of-fitchi-square test for independence

State t

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Q3. Suppose that in a chi-square distribution the following information is true: the degrees of freedom is 3; a chi- square value of 9.35 has a p-value of 0.025;and a chi-square value of 1 1.35 has a p-value of 0.01. Which of the following is a possible p-value for a chi-square test of independence with a chi-square test statistic of 8.44? a. 0.005 b. 0.021 C. 0.038This question involves the difference between Chi Square tests and ANOVA tests. Chi Square involves a test about multiple [ Select ] and uses the [ Select ] distribution. [ Select ] ultiple Chi Square and uses the F Select ] V distribution.9. Consider the chi-square analyses we discussed in Unit 5. a. Describe how you determine expected values for a univariate chi-square test? (2 marks) b. How do you interpret a statistically significant univariate chi-square? Include formulae if needed. (5 marks) C. Describe how you determine the expected values for a bivariate chi-square test? (2 marks) d. How do you interpret a statistically significant bivariate chi-square? Include formulae if needed. (5 marks) e. Is the McNemar test a univariate or a bivariate chi-square analysis? (2 marks) Why? (2 marks) f. How do you determine the expected values for a McNemar test? (2 marks) Why are the expected values derived in this way? (3 marks) g. How is a statistically significant McNemar test interpreted? Include formulae if needed

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