5. Rather than keeping track of each demand observation, Betty Sucasas, a member of the marketing staff with a large company that produces a line of switches, has kept only grouped data. For switch C9660Q, used in small power supplies, she has observed the following numbers of units of the switch shipped over the last year. Number of Units Shipped Weeks 0-2,000 2,001-5,000 5,001-9,000 9,001-12,000 12,001–18,000 18,001-20,000 12 17 10 4 Based on these observations, estimate the mean and the standard deviation of the weekly shipments. (Hint: This is known as grouped data. For the purposes of your calculation, assume that all observations occur at the midpoint of each interval.)
5. Rather than keeping track of each demand observation, Betty Sucasas, a member of the marketing staff with a large company that produces a line of switches, has kept only grouped data. For switch C9660Q, used in small power supplies, she has observed the following numbers of units of the switch shipped over the last year. Number of Units Shipped Weeks 0-2,000 2,001-5,000 5,001-9,000 9,001-12,000 12,001–18,000 18,001-20,000 12 17 10 4 Based on these observations, estimate the mean and the standard deviation of the weekly shipments. (Hint: This is known as grouped data. For the purposes of your calculation, assume that all observations occur at the midpoint of each interval.)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:5. Rather than keeping track of each demand observation, Betty Sucasas, a member
of the marketing staff with a large company that produces a line of switches, has kept
only grouped data. For switch C9660Q, used in small power supplies, she has
observed the following numbers of units of the switch shipped over the last year.
Number of
Units Shipped
Weeks
0-2,000
2,001-5,000
5,001-9,000
9,001-12,000
12,001–18,000
18,001-20,000
12
17
10
4
Based on these observations, estimate the mean and the standard deviation of the
weekly shipments. (Hint: This is known as grouped data. For the purposes of
your calculation, assume that all observations occur at the midpoint of each
interval.)
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