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Stats 10
Practice Final
1.
Which of the following are true statements?
I.
The area under the standard normal curve between 0 and 2 is twice the area between
0 and 1
II.
The area under the standard normal curve between 0 and 2 is half the area between
2 and 2
III. For the standard normal curve, the IQR is approximately 3
(A)
I and II
(B)
I and III
(C)
II and III
(D)
I, II, and III
(E)
None of the above
2.
Which of the following distributions are more likely to be skewed to the right than skewed to
the left?
I.
Household incomes
II.
Home prices
III.
Ages of teenage drivers
(A) II only
(B) I and II
(C) I and III
(D) II and III
(E) I, II, and III
3.
The mean GRE score for applications to a particular graduate school is 650 with a standard
deviation of 45. Suppose that only applicants with scores above 700 are considered. What
percentage of the applicants considered have scores below 740? (Assume the scores are normally
distributed)
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Assuming Major League Baseball batting averages have a bellshaped distribution, arrange
the following in ascending order:
I.
An average with a zscore of 1
II.
An average with a percentile rank of 20%
III.
An average at the first quartile, Q
1
5.
Which of the following statements about residuals are true:
I.
The mean of the residuals is always zero
II.
Outliers have large residuals
III.
A definite pattern in the residual plot is an indication that a linear model is not
a good fit for the data
(A) II only
(B) I and II
(C) I and III
(D) II and III
(E) I, II, and III
6.
Suppose a study finds that the correlation coefficient relating family income to SAT scores is
r = .99. Which of the following are proper conclusions?
I.
Poverty causes low SAT scores
II.
Wealth causes high SAT scores
III.
There is a very strong association between family income and SAT scores.
(A) I only
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 Spring '09
 Levan

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