The sample mean was given to be x = 16.5 customer contacts and the sample standard deviation was given to be s = 4.2 customer contacts for a sample of n = 68 weekly reports. The value of ta/2 was determined to be 1.996. All the values are now known to construct the confidence interval. The lower bound of the confidence interval is calculated using the expression x-ta/2 √ Find this lower bound, rounding the result to two decimal places. 2/2 (√₁) lower bound = x-ta/25 = 16.5 1.996 = 15.45 S + a/2 √n upper bound = x+t S The upper bound of the confidence interval is calculated using the expression x + ta/2√ Find this upper bound, rounding the result to two decimal places. = 16.5 1.996 4.2 = 17.53 X √68 4.2 √68 ✓ x Therefore, the 95% confidence interval for the population mean number of weekly customer contacts for the sales personnel is from a lower bound of 15.45 17.53 X contacts/week. X contacts/week to an upper bound of
The sample mean was given to be x = 16.5 customer contacts and the sample standard deviation was given to be s = 4.2 customer contacts for a sample of n = 68 weekly reports. The value of ta/2 was determined to be 1.996. All the values are now known to construct the confidence interval. The lower bound of the confidence interval is calculated using the expression x-ta/2 √ Find this lower bound, rounding the result to two decimal places. 2/2 (√₁) lower bound = x-ta/25 = 16.5 1.996 = 15.45 S + a/2 √n upper bound = x+t S The upper bound of the confidence interval is calculated using the expression x + ta/2√ Find this upper bound, rounding the result to two decimal places. = 16.5 1.996 4.2 = 17.53 X √68 4.2 √68 ✓ x Therefore, the 95% confidence interval for the population mean number of weekly customer contacts for the sales personnel is from a lower bound of 15.45 17.53 X contacts/week. X contacts/week to an upper bound of
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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
Transcribed Image Text:ta/2
The sample mean was given to be x = 16.5 customer contacts and the sample standard deviation was given to be s = 4.2 customer contacts for a sample of n = 68 weekly reports. The value of t
determined to be 1.996. All the values are now known to construct the confidence interval.
The lower bound of the confidence interval is calculated using the expression x-ta/2√n Find this lower bound, rounding the result to two decimal places.
lower bound = x-ta/2 √
ta/2 ( √n)
= 16.5 1.996
-
= 15.45
Submit Ski
upper bound = x + tel
-ta/z ( √₁)
n
4.2
S
The upper bound of the confidence interval is calculated using the expression x + ta/2 √
n
= 16.5 1.996
= 17.53
X
4.2
68
Skin (you cannot come back) |
S
√68
X
Therefore, the 95% confidence interval for the population mean number of weekly customer contacts for the sales personnel is from a lower bound of 15.45
17.53
X contacts/week.
Find this upper bound, rounding the result to two decimal places.
was
X contacts/week to an upper bound of
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