This is example #1 that starts on page 55 (slide 11) in your course packet.
The director of graduate placement of an MBA program is interested in the impact of
the different majors on the number of job offers the MBA graduates receive. He
randomly selects 26 students from 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?
2.702196705
5.
What is the pvalue for this test?
0.073587768
6.
What would the MBA director conlude at the 5% significance level about the
difference between the number of job offers by majors?
o
Reject the null hypothesis and conclude that at least one of
the three majors has a different number of job offers compared to the
others.
o
Reject the null hypothesis and conclude that there is not
enough evidence to conclude that at least one of the three majors has
a different number of job offers compared to the others.
o
Fail to reject the null hypothesis and conclude that at least
one of the three majors has a different number of job offers
compared to the others.
o
Fail to reject the null hypothesis and conclude that there
is not enough evidence to conclude that at least one of the three
majors has a different number of job offers compared to the
others.
7.
ANOVA Single Factor is always a:
o
Onetail test with a rejection region on the left end of the F
distribution.
o
Onetail test with a rejection region on the right end of
the F distribution.
o
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 Spring '09
 PETRY
 Statistics, Null hypothesis, Statistical hypothesis testing

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