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

If you can not get me an “A” on the final, do not take this assignment!!

Final Examination Study Guide Stats 1550
General Information:

i. The Final Exam can be taken during the days and times listed in the Course Syllabus.

ii. You have 1 hour and 55 minutes to complete the final exam.

iii. You have two attempts at the final and the better of your attempts is counted.

iv. The final exam is worth 5% of your course grade.

iv. A set of Final Exam review questions is available at the class website.
Exam Topics:
Question 1: Test a claim about a population mean.

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 Stat Crunch to compute the test statistic.

d. Use Stat Crunch 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 Stat Crunch to compute the test statistic.

c. Use Stat Crunch 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 Stat Crunch 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 NOVA test.

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

b. Open the sample data in Stat Crunch and compute the test statistic.

c. Use Stat Crunch 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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