A restaurant specializes in pizza that is baked in a wood-burning oven. The sales of food and drink in this restaurant vary from day to day. Past records indicate that the daily sales follow a distribution with a mean of $900 and a standard deviation of $300. The mean sales for the seven days in a week are computed each week. Each week is considered a sample of size n = 7 days. What would we expect the weekly sample mean sales amounts to fluctuate around (in dollars)? • How much variability would you expect in the weekly sample mean sales figures? • Find the standard deviation of the sampling distribution of the sample mean, and interpret this standard deviation.
A restaurant specializes in pizza that is baked in a wood-burning oven. The sales of food and drink in this restaurant vary from day to day. Past records indicate that the daily sales follow a distribution with a mean of $900 and a standard deviation of $300. The mean sales for the seven days in a week are computed each week. Each week is considered a sample of size n = 7 days. What would we expect the weekly sample mean sales amounts to fluctuate around (in dollars)? • How much variability would you expect in the weekly sample mean sales figures? • Find the standard deviation of the sampling distribution of the sample mean, and interpret this standard deviation.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 1GP
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A restaurant specializes in pizza that is baked in a
wood-burning oven. The sales of food and drink
in this restaurant vary from day to day. Past
records indicate that the daily sales follow a
distribution with a
deviation of $300.
The mean sales for the seven days in a week
are computed each week. Each week is
considered a sample of size n = 7 days.
What would we expect the weekly sample
mean sales amounts to fluctuate around (in
dollars)?
• How much variability would you expect in the
weekly sample mean sales figures?
• Find the standard deviation of the sampling
distribution of the sample mean, and interpret
this standard deviation.
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