How much does a sleeping bag cost? Let's say you want a sleeping bag that should keep you warm in temperatures from 20°F to 45°F. A random sample of prices ($) for sleeping bags in this temperature range is given below. Assume that the population of x values has an approximately normal distribution.
55 | 105 | 110 | 115 | 100 | 50 | 30 | 23 | 100 | 110 |
105 | 95 | 105 | 60 | 110 | 120 | 95 | 90 | 60 | 70 |
(a) Use a calculator with mean and sample standard deviation keys to find the sample mean price x and sample standard deviation s. (Round your answers to two decimal places.)
x = | $ |
s = | $ |
(b) Using the given data as representative of the population of prices of all summer sleeping bags, find a 90% confidence interval for the mean price μ of all summer sleeping bags. (Round your answers to two decimal places.)
lower limit | $ |
upper limit | $ |
Solution:
Part a
Xbar = 85.40
S = 29.33
(by using calculator or excel)
Part b
Confidence interval for Population mean is given as below:
Confidence interval = Xbar ± t*S/sqrt(n)
From given data, we have
Xbar = 85.4
S = 29.32647448
n = 20
df = n – 1 = 19
Confidence level = 90%
Critical t value = 1.7291
(by using t-table)
Confidence interval = Xbar ± t*S/sqrt(n)
Confidence interval = 85.4 ± 1.7291*29.32647448/sqrt(20)
Confidence interval = 85.4 ± 11.3390
Lower limit = 85.4 - 11.3390 = 74.06
Upper limit = 85.4 + 11.3390 = 96.74
Lower limit = 74.06
Upper limit = 96.74
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