First, find the sample variance s. Recall the computation formula for sample variance s' 2 %3D where x is a value of the data n - 1 set and n is the number of data values. We know that x = 111 and x = 2,665. There are five values %3D in the data set 14, 16, 24, 26, 31, so n = 5 . Substitute these values into the formula to calculate the sample variance. s2 = n - 1 111 2,665 - 5 - 1 2,665 492.84 4. 2172.16 543.04
First, find the sample variance s. Recall the computation formula for sample variance s' 2 %3D where x is a value of the data n - 1 set and n is the number of data values. We know that x = 111 and x = 2,665. There are five values %3D in the data set 14, 16, 24, 26, 31, so n = 5 . Substitute these values into the formula to calculate the sample variance. s2 = n - 1 111 2,665 - 5 - 1 2,665 492.84 4. 2172.16 543.04
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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First, find the sample variance s.
2.
2.
Recall the computation formula for sample variances
Σ
where x is a value of the data
1.
set and n is the number of data values. We know that x =
= 111 and x =
Σ
3D2,665. There are five values
in the data set 14, 16, 24, 26, 31, son = 5
calculate the sample variance.
Substitute these values into the formula to
3)
Σ
s2 =
1.
111
2,665-
5- 1
2,665
492.84
2172,16
543.04
13D
%3D
I3D"
Transcribed Image Text:Untitled document-..
G kji -Google Search
Spanish
First, find the sample variance s.
2.
2.
Recall the computation formula for sample variances
Σ
where x is a value of the data
1.
set and n is the number of data values. We know that x =
= 111 and x =
Σ
3D2,665. There are five values
in the data set 14, 16, 24, 26, 31, son = 5
calculate the sample variance.
Substitute these values into the formula to
3)
Σ
s2 =
1.
111
2,665-
5- 1
2,665
492.84
2172,16
543.04
13D
%3D
I3D
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