In a recent survey of 655 working Americans ages 25–34, the average weekly amount spent on lunch was $44.60 with standard deviation $2.81. The weekly amounts are approximately bell-shaped.
18. Estimate the percentage of amounts that are between $36.17 and $53.03. and Estimate the percentage of amounts that are between $41.79 and $47.41.
a)
P(36.17 <X < 53.03) = ?
z = ( X - Mean ) / SD
For X = 36.17
z = ( 36.17 - 44.60) / 2.81
= -3
36.17 is 3 standard deviation below the mean.
For X = 53.03
z = ( 53.03 - 44.60) / 2.81
= 3
53.03 is 3 standard deviation above the mean.
According to empirical rule,
Approximately, 99.7% of the data falls in 3 standard deviation of the mean.
So,
P(36.17 < X < 53.03) = 99.7 %
b)
P(41.79 <X < 47.41) = ?
z = ( X - Mean ) / SD
For X = 41.79
z = ( 41.79 - 44.60) / 2.81
= -1
41.79 is 1 standard deviation below the mean.
For X = 47.41
z = ( 47.41 - 44.60) / 2.81
= 1
47.41 is 1 standard deviation above the mean.
According to empirical rule,
Approximately, 68% of the data falls in 1 standard deviation of the mean.
So,
P(41.79 < X < 47.41) = 68%
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