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STA 3024
Exam 1 Sample Questions
1. A researcher is conducting a chisquared test with
α
= 0
.
05 to see if happiness (not happy, pretty
happy, or very happy) depends on level of income (low, medium, or high). She surveys a random
sample of 2859 people, creates a 3
×
3 contingency table, and calculates a test statistic value of
X
2
= 61
.
2. (Assume she has done everything correctly up to this point.) She then compares
her observed test statistic value to a chisquared distribution with
df
= 4, and she determines
that her pvalue is smaller than 0.001. Since her pvalue is extremely small, she concludes that
there is a strong association between income and happiness. How did she make a mistake?
(A) She should have used a smaller
df
when calculating the pvalue.
(B) She should have used a larger
df
when calculating the pvalue.
(C) She cannot necessarily conclude that the pvalue is smaller than 0.001.
(D) She cannot necessarily conclude that there is a strong association.
(E) She did not make a mistake.
2. We are told that a 95% conﬁdence interval for the average starting salary, in thousands of
dollars, of college graduates with some particular major is (20
.
1
,
69
.
8). Which of the following
statements about the interpretation of this conﬁdence interval are true?
Statement I:
We are 95% conﬁdent that the average starting salary of college graduates
with that major is between $20,100 and $69,800.
Statement II:
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This note was uploaded on 03/27/2012 for the course STA 3024 taught by Professor Ta during the Spring '08 term at University of Florida.
 Spring '08
 TA
 Statistics

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