1. 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.
75 | 95 | 55 | 105 | 110 | 115 | 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 $
2. Do you want to own your own candy store? Wow! With some interest in running your own business and a decent credit rating, you can probably get a bank loan on startup costs for franchises such as Candy Express, The Fudge Company, Karmel Corn, and Rocky Mountain Chocolate Factory. Startup costs (in thousands of dollars) for a random sample of candy stores are given below. Assume that the population of x values has an approximately normal distribution.
96 | 170 | 125 | 99 | 75 | 94 | 116 | 100 | 85 |
(a) Use a calculator with mean and sample standard deviation keys to find the sample mean startup cost x and sample standard deviation s. (Round your answers to one decimal place.)
x = | thousand dollars |
s = | thousand dollars |
(b) Find a 90% confidence interval for the population average
startup costs μ for candy store franchises. (Round your
answers to one decimal place.)
lower limit | thousand dollars |
upper limit | thousand dollars |
1)
a)from excel:
x=average(array)= 86.40
s =stdev(array )=28.15
b)
std error ='sx=s/√n=28.1488524586144/√20= | 6.2943 |
for 90% CI; and 19 df, value of t= | 1.729 | |
margin of error E=t*std error = | 10.88 | |
lower bound=sample mean-E = | 75.52 | |
Upper bound=sample mean+E = | 97.28 |
2)
a)
x =106.7
s =28.0
b)
for 90% CI; and 8 df, value of t= | 1.860 | |
margin of error E=t*std error = | 17.37 | |
lower bound=sample mean-E = | 89.3 | |
Upper bound=sample mean+E = | 124.0 |
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