Review Exam 3 Math 201 (B. Olson)

Chapter 9:

1.  In Hypothesis testing for the mean, what is used for the null hypothesis?  What does the alternate hypothesis intend to show?  What are the notations for each?

2.  What is a Type I error?  What notation is used for the probability of this error?

3.  What is a Type II error?  What notation is used for the probability of this error?

4.  What is the critical region of hypothesis testing?  Where are the critical regions located on the distribution?

5.  What is the critical value in testing large samples for the mean?  What is the conversion formula?

6.   What are the criteria for rejecting or failing to reject the null hypothesis?

7.  What is a P-value?

8.  How do we find the P-value of a hypothesis test?

9.  When looking for the P-value in large sample tests, what must we do for a two-tail test?

How is testing small samples different from large samples?

10.  When testing proportions, what are the null hypothesis and the alternate hypothesis?

11.  When are we allowed to use the standard normal table and how do we convert to z-values for testing proportions?

12.  What is the difference between independent samples and dependent samples?

13.  When testing paired differences, what does dbar represent?

14.  When testing independent sample differences, what are the three types of testing that can occur?

Chapter 10:

1.  What is a scatter diagram?

2.  What does it mean for paired data values to have a linear correlation or not?

3.  What are the explanatory variable and the response variable?

4.  What is the Least Squares Criterion?

5.  What is the equation of the Least Squares Line?  What does each variable represent?

How do we find each part?

6.  What is the Standard Error of the Estimate?

7.  What is the confidence interval for y at a specific value of x?

8.  What is the Correlation Coefficient r?

9.  What can values of r tell us about the linear correlation if:

a)  r = 0                                                b)  r = 1 or r = -1

c)  0 < r < 1                                         d)  -1 < r < 0

10.  What is an alternate formula for finding the slope of the least squares line?

11.  What is the Coefficient of determination?  What does it represent?

Chapter 11:

1.  How is the Chi-square distribution similar to the Student’s t distribution?  How is it different?

2.  What type of testing uses the Chi-square distribution?

3.  What are the null hypothesis and the alternate hypothesis of each test?

4.  What is the Observed value vs. the Expected Value?

5.  What is the formula for finding E?

6.  What is the formula for converting to a value in an independence test?

7.  What is the formula for find the degrees of freedom for independence testing in a distribution?  For testing goodness of fit?

Go over homework problems for Chapters 9, 10, 11.

Larry Green has a practice exam 3 at the website http://www.ltcconline.net/greenl/courses/201/keys/pmid3.htm

Use at your discretion.