In: Statistics and Probability
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.
45 | 65 | 105 | 110 | 120 | 55 | 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 | $ |
Values ( X ) | Σ ( Xi- X̅ )2 | |
45 | 1493.8225 | |
65 | 347.8225 | |
105 | 455.8225 | |
110 | 694.3225 | |
120 | 1321.3225 | |
55 | 820.8225 | |
30 | 2878.3225 | |
23 | 3678.4225 | |
100 | 267.3225 | |
110 | 694.3225 | |
105 | 455.8225 | |
95 | 128.8225 | |
105.0 | 455.8225 | |
60 | 559.3225 | |
110 | 694.3225 | |
120 | 1321.3225 | |
95 | 128.8225 | |
90 | 40.3225 | |
60 | 559.3225 | |
70 | 186.3225 | |
Total | 1673 | 17182.55 |
Part a)
Mean X̅ = Σ Xi / n
X̅ = 1673 / 20 = 83.65
Sample Standard deviation SX = √ ( (Xi - X̅
)2 / n - 1 )
SX = √ ( 17182.55 / 20 -1 ) =
30.07
Part b)
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.1 /2, 20- 1 ) = 1.729
83.65 ± t(0.1/2, 20 -1) * 30.0723/√(20)
Lower Limit = 83.65 - t(0.1/2, 20 -1) 30.0723/√(20)
Lower Limit = 72.02
Upper Limit = 83.65 + t(0.1/2, 20 -1) 30.0723/√(20)
Upper Limit = 95.28
90% Confidence interval is ( 72.02 , 95.28 )