sizes 28, 30, 32, 34, 36, 38, 40, 42, and 44, with a mean of 36, and a sample standard deviation of 2.1. Find the number of trousers to be made of each waist size. (Use the empirical rule.) How many trousers should be made within one standard deviation of the mean? a.

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33. A trouser manufacturer has an order for 80,000
men's trousers in a normal distribution of waist
sizes 28, 30, 32, 34, 36, 38, 40, 42, and 44, with a
mean of 36, and a sample standard deviation of
2.1. Find the number of trousers to be made of
each waist size. (Use the empirical rule.)
a.
How many trousers should be made within
one standard deviation of the mean?
What waist sizes are included in this set?
(Circle all that apply.)
28 30 32 34 36 38 40 42 44
b. How many trousers should be made
between one and two standard deviation of
the mean?
What waist sizes are included in this set?
(Circle all that apply.)
28 30 32 34 36 38 40 42 44
How many trousers should be made
between two and three standard
С.
deviation of the mean?
What waist sizes are included in this set?
(Circle all that apply.)
28 30 32 34 36 38 40 42 44
Transcribed Image Text:33. A trouser manufacturer has an order for 80,000 men's trousers in a normal distribution of waist sizes 28, 30, 32, 34, 36, 38, 40, 42, and 44, with a mean of 36, and a sample standard deviation of 2.1. Find the number of trousers to be made of each waist size. (Use the empirical rule.) a. How many trousers should be made within one standard deviation of the mean? What waist sizes are included in this set? (Circle all that apply.) 28 30 32 34 36 38 40 42 44 b. How many trousers should be made between one and two standard deviation of the mean? What waist sizes are included in this set? (Circle all that apply.) 28 30 32 34 36 38 40 42 44 How many trousers should be made between two and three standard С. deviation of the mean? What waist sizes are included in this set? (Circle all that apply.) 28 30 32 34 36 38 40 42 44
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