Graded Homework 9
You have submitted this Homework 3 times (including this time).
You may submit this Homework a total of 40 times and receive full credit.
This homework covers ANOVA material that can be found in your course packet on
pages 6569.
Question #1
This is example #1 that starts on slide 10 (page 67) in your course packet.
The director of graduate placement of an MBA program is interested on the impact of
the different majors on the number of job offers the MBA graduates receive. He
randomly selects 26 students of each of the 3 following majors: Finance, Marketing
and Accountancy, and asks them the number of job offers received just after
graduation. Based on this
data
, can he conclude that the mean number of job offers
differ by major?
1.
What is (are) the factor(s) in this example:
major
2.
What is (are) the factor(s) level(s) in this example:
Finance, Marketing and
Accountancy
3.
To perform the difference in means test for the above dataset, you would go to
Tools > Data Analysis >
Anova: Single Factor
4.
What is the value of the test statistic for this test?
2.702197
5.
What is the pvalue for this test?
0.073588
6.
What would the MBA director conclude at the 5% significance level about the
difference between the number of job offers by majors?
o
Reject the null hypothesis and conclude that there is a
difference in the number of job offers by major.
o
Reject the null hypothesis and conclude that there is not
enough evidence to conclude that there is a difference in the
number of job offers by major.
o
Fail to reject the null hypothesis and conclude that there is
a difference in the number of job offers by major.
o
Fail to reject the null hypothesis and conclude that
there is not enough evidence to conclude that there is a
difference in the number of job offers by major.
Item 4:
Your answer is within ±.1% of the solution  correct.
Item 5:
Your answer is within ±.1% of the solution  correct.
Item 6:
You made all of the correct selections.
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 Spring '08
 Petry
 Statistics, Null hypothesis, Statistical hypothesis testing

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