Which of the following statements could be an explanation for the presence of an outlier in the
data?
A) The measurement is incorrect. It may have been observed, recorded, or entered into the
computer incorrectly.
B) The measurement may be correct and from the same population as the rest but represents
a rare event. Generally, we accept this explanation only after carefully ruling out all
others.
C) The measurement belongs to a population different from that from which the rest of the
sample was drawn.
D) All of the above are explanations for outliers.
Q. 2The conditions for both the hypergeometric and the binomial random variables require that the
trials are independent.
A) True B) False
Q. 3Which of the following statements concerning the box plot and z-score methods for detecting
outliers is false?
A) The box plot method uses the quartiles as a basis for detecting outliers.
B) The z-score method uses the mean and standard deviation as a basis for detecting
outliers.
C) The box plot method is less affected by an extreme observation in the data set.
D) The z-score method is less affected by an extreme observation in the data set.
Q. 4The speeds of the fastballs thrown by major league baseball pitchers were measured by radar
gun. The mean speed was 86 miles per hour. The standard deviation of the speeds was 5 mph.
Which of the following speeds would be classified as an outlier?
A) 81 mph B) 94 mph C) 76 mph D) 102 mph
Q. 5The conditions for both the hypergeometric and the binomial random variables require that each
trial results in one of two outcomes.
A) True B) False
Q. 6The number of homeruns hit during a major league baseball game follows a Poisson distribution
with = 3.2. Find the mean and standard deviation for this distribution.
A) mean = 3.2, standard Deviation = 1.79 B) mean = 3.2, standard Deviation = 3.2
C) mean = 3.2, standard Deviation = 10.24 D) mean = 1.79, standard Deviation = 3.2
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