Test a claim about a population mean, then state the null and alternative hypothesis and identify the claim.

Exam Topics:

Question 1: Test a claim about a population mean.

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a. State the null and alternative hypothesis and identify the claim.

b. Determine the graph of the sampling distribution that matches the test type.

c. Use StatCrunch to compute the test statistic.

d. Use StatCrunch to compute the P-value.

e. Make a decision about the null hypothesis.

f. State the conclusion of the hypothesis test.

Question 2: Test a claim about the difference in population proportions.

a. State the null and alternative hypothesis and identify the claim.

b. Use StatCrunch to compute the test statistic.

c. Use StatCrunch to compute the P-value.

d. Make a decision about the null hypothesis and state the conclusion of the hypothesis test.

Question 3: Use a given regression model to determine the best predicted value.

a. Use the Critical Values of the Pearson Correlation Coefficient to determine if the regression model or

the mean of the y-values is used.

b. Determine the best predicted value.

Question 4: Conduct a Chi-Square Test for Independence.

a. State the null and alternative hypothesis and identify the claim.

b. Enter the data in StatCrunch and compute the test statistic.

c. Determine the degrees of freedom and use the Chi-Square Table A-4 to determine the critical value.

d. Make a decision about the null hypothesis and state the conclusion of the hypothesis test.

Question 5: Use sample data to perform an ANOVA test.

a. State the null and alternative hypothesis and identify the claim.

b. Open the sample data in StatCrunch and compute the test statistic.

c. Use StatCrunch to compute the P-value.

d. Make a decision about the null hypothesis and state the conclusion of the hypothesis test.

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