Sales personnel for X Company are required to submit weekly reports
listing customer contacts made during the week. A sample of 61 weekly contact
reports showed a mean of 22.4 customer contacts per week for the sales personnel.
The sample standard deviation was 5 contacts.
1. Develop a 95% confidence interval estimate for the mean number of weekly
customer contacts for the population of sales personnel.
2. Assume that the population of weekly contact data has a normal distribution.
Use the t distribution to develop a 95% confidence interval for the mean number
of weekly customer contacts.
3. Compare your answer for parts (a) and (b). What do you conclude from your
results?
1. Based on the provided information (n = 61, α = 0,05) the critical z-value is Zc = 1.96
M=22.4
"\\sigma = 5"
Two-sided confidence interval:
"CI = (M - \\frac{Z_c \\times \\sigma}{\\sqrt{n}}, M + \\frac{Z_c \\times \\sigma}{\\sqrt{n}}) \\\\\n\nCI = (22.4 - \\frac{1.96 \\times 5}{\\sqrt{61}}, 22.4 + \\frac{1.96 \\times 5}{\\sqrt{61}}) \\\\\n\nCI = (22.4 - 1.25, 22.4 + 1.25) \\\\\n\nCI = (21.15, 23.65)"
2. n=61, P=0.95
t=2.00 (from table)
"CI = (M - \\frac{t \\times \\sigma}{\\sqrt{n}}, M + \\frac{t \\times \\sigma}{\\sqrt{n}}) \\\\\n\nCI = (22.4 - \\frac{2.00 \\times 5}{\\sqrt{61}}, 22.4 + \\frac{2.00 \\times 5}{\\sqrt{61}}) \\\\\n\nCI = (22.4 - 1.28, 22.4 + 1.28) \\\\\n\nCI = (21.12, 23.68)"
3. CI from (a) is less than CI from (b).
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