Merced College; Don Power

 

STUDY GUIDE FOR CHAPTERS  11-12

 

 

1.  Suppose that a certain university claims that at least 80% of its graduates get jobs within three months of graduation.  Test this hypothesis at the .01 significance level, if a random sample of 9 students shows that only 4 got jobs within three months of graduation.  Even though 4 is clearly less than 80% of 9, your result should show that you do not reject H0, (that is, you do not have enough data to say you are 99% certain that the claim is false).

 

 

2.  Rework problem 1 at the .05 significance level.  In what way does the result change?

 

 

3.  Rework problem 1 (at the .05 significance level) if a sample of 40 students shows that only 27 got jobs within three months of graduation.  How would you have to reword the problem to make this a 2-tail test?  How would it change the results if you did this problem as a 2-tail test?

 

4.  Perform a Chi-square (c2) test to determine (at the .05 significance level) whether there is a significant relationship between success in a Physics course and a proposed prerequisite; the following table breaks down the number of Physics students in a test group according to  whether or not they had the proposed prerequisite, and whether or not they succeeded in Physics:

 

 

Successful in Physics

Not successful in Physics

Totals

Student had prerequisite

54

11

65

Student didn’t have prerequisite

8

21

29

Totals

62

32

94

 

 

 

5. Calculations with a collection of ordered pairs (related x’s and y’s) result in the following values:

Sxx = 49.9, Syy = 0.34,  and Sxy = -3.95, = 17.4 and  = 4.85   Use these values to:

 

a.  Find an equation of the regression line.   

 

b.  Predict y if x is 22

 

c.  Find the correlation coefficient.

 

d.  Test the correlation coefficient to determine whether the relationship between x and y is significant (test at the .05 significance level; this is a two-tailed test)

 

Return to:  Merced College; Don Power               Updated 05/18/04 by Don Power