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According to some study, the height for Northern European adult males is normally distributed with an
average of 181 centimeter and a standard deviation of 7.3 centimeter. Suppose such an adult male is
randomly chosen. Let X be height of that person. The next 3 questions correspond to this information. The
answer may be rounded up to 3 decimal places of the actual value.
Question 1
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The probability that the person is between 160 and 170 centimeters is
Answer:
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The distribution of X is Normal(181,(7.3)2). The Probability of the interval is equal to the difference between
P(X ≤ 170) and P(X ≤ 160) > pnorm(170,181,7.3) - pnorm(160,181,7.3) [1] 0.06391543
Question 2
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The probability that the person is higher than 190 centimeter is
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The distribution of X is Normal(181,(7.3)2). The Probability of being larger than 190 is equal to the
difference between 1 and P(X ≤ 190) > 1 - pnorm(190,181,7.3) [1] 0.1088109
Question 3
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The middle 60% of heights fall between what two values?
Select one:
a. (171.6, 190.4)
b. (173.4, 188.6)
c. (174.9, 187.1)
d. (176.1, 185.7)
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The distribution of X is Normal(181,(7.3)2). The central region that contains 60% of the distribution is the
region between the 0.2-percentile and the 0.8-percentile > qnorm(0.2,181,7.3) [1] 174.8562 >
qnorm(0.8,181,7.3) [1] 187.1438
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Terri Vogel, an amateur motorcycle racer, averages 129.71 seconds per 2.5 mile lap (in a 7 lap race) with a
standard deviation of 2.28 seconds . The distribution of her race times is normally distributed. We are
interested in one of her randomly selected laps. The next 4 questions correspond to this information. The
answer may be rounded up to 3 decimal places of the actual value:
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