1)A) 80 - 2 * 10 = 60
80 + 2 * 10 = 100
So 60 and 100 are two standard deviations from the mean.
P(60 < X < 100) = 1 - 1/k2
= 1 - 1/22
= 1 - 1/4 = 3/4 = 0.75 = 75%
B) 80 - 3 * 10 = 50
80 + 3 * 10 = 110
So 50 and 110 are three standard deviation from the mean.
So P(50 < X < 110) = 1 - 1/k2
= 1 - 1/32
= 1 - 1/9 = 8/9 = 0.8889 = 88.89%
2)A) 26.8 + 4.2 = 31
31 is one standard deviation above the mean.
According to empirical rule 68% of the data fall within one standard deviation from the mean.
So 34% of the data fall between 26.8 and 31.
So 50% - 34% = 16% Americans would expect to consume more than 31 pounds of citrus fruit per year.
B) 26.8 - 2 * 4.2 = 18.4
18.4 is two standard deviation below the mean.
According to empirical rule 95% of the data fall within two standard deviation from the mean.
So 47.5% of the data fall between 18.4 and 26.8.
So 50% - 47.5% = 2.5% Americans would expect to consume less than 18.4 pounds of citrus fruit per year.
C) 34% of the data fall between 26.8 and 31 and 47.5% of the data fall between 18.4 and 26.8.
So total 34% + 47.5% = 81.5% Americans would expect to consume between 18.4 and 31 pounds of citrus fruit per year.
3) 12 - 2 * 4 = 12 - 8 = 4
12 + 2 * 4 = 12 + 8 = 20
So 4 and 20 are two standard deviations from the mean.
P(4 < X < 20) = 1 - 1/k2
= 1 - 1/22
= 1 - 1/4 = 3/4 = 0.75 = 75%
4) According to Chebyshev's theorem 75% of the data falls within two standard deviation from the mean.
53 - 2 * 6 = 53 - 12 = 41
53 + 2 * 6 = 53 + 12 = 65
So 75% of the scores will lie between the range 41 and 65.
5)A) 53 + 2 * 2.8 = 58.6
58.6 is two standard deviation above the mean.
According to empirical rule 95% of the data fall within two standard deviation from the mean.
So 47.5% of the data fall between 53 and 58.6.
So 50% - 47.5% = 2.5% of faculty members work more than 58.6 hours a week.
B) 53 - 2.8 = 50.2
53 + 2.8 = 55.8
According to empirical rule 68% of the data fall within one standard deviation from the mean.
So 68% of faculty members work between 50.2 and 55.8 hours a week.
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