In: Statistics and Probability
A random sample of fifty si 200-meter swims has a mean time of 3.06 minutes and the population standard deviation is 0.08 minutes. Construct a 95% confidence interval for the population mean time. Interpret the results.In a random sample of 50 refrigerators, the mean repair cost was $136.00 and the population standard deviation is$19.1019.10. A 90% confidence interval for the population mean repair cost is (131.56,140.44). Change the sample size to n=100. Construct a 90% confidence interval for the population mean repair cost. Which confidence interval is wider? Explain.
Construct a 90% confidence interval for the population mean repair cost.
The 95% confidence interval isA random sample of thirty-seven 200-meter swims has a mean time of 3.591 minutes. The population standard deviation is 0.080 minutes. A 90% confidence interval for the population mean time is (3.569,3.613). Construct a 90% confidence interval for the population mean time using a population standard deviation of 0.03 minutes. Which confidence interval is wider? Explain.
The 90% confidence interval is
The 95% confidence interval is
You are given the sample mean and the population standard deviation. Use this information to construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. If convenient, use technology to construct the confidence intervals.
A random sample of 35 home theater systems has a mean price of $128.00. Assume the population standard deviation is $15.90. Find the 90% and 95% of confidence interval.
Level of Significance , α =
0.05
z value= z α/2= 1.9600 [Excel
formula =NORMSINV(α/2) ]
Standard Error , SE = σ/√n = 0.0800 /
√ 50 = 0.011314
margin of error, E=Z*SE = 1.9600
* 0.01131 = 0.022174
confidence interval is
Interval Lower Limit = x̅ - E = 3.06
- 0.022174 = 3.037826
Interval Upper Limit = x̅ + E = 3.06
- 0.022174 = 3.082174
95% confidence interval is (
3.04 < µ < 3.08 )
-------------------------
REFRIGERATOR 100 SAMPLE SIZE 90% CONFIDENCE
Level of Significance , α =
0.1
' ' '
z value= z α/2= 1.6449 [Excel
formula =NORMSINV(α/2) ]
Standard Error , SE = σ/√n = 19.1000 /
√ 100 = 1.910000
margin of error, E=Z*SE = 1.6449
* 1.91000 = 3.141670
confidence interval is
Interval Lower Limit = x̅ - E = 136.00
- 3.141670 = 132.858330
Interval Upper Limit = x̅ + E = 136.00
- 3.141670 = 139.141670
90% confidence interval is (
132.86 < µ < 139.14
)
Sample size 50 is more wider
---------------------------
Level of Significance , α =
0.1
' ' '
z value= z α/2= 1.6449 [Excel
formula =NORMSINV(α/2) ]
Standard Error , SE = σ/√n = 0.0300 /
√ 37 = 0.004932
margin of error, E=Z*SE = 1.6449
* 0.00493 = 0.008112
confidence interval is
Interval Lower Limit = x̅ - E = 3.59
- 0.008112 = 3.582888
Interval Upper Limit = x̅ + E = 3.59
- 0.008112 = 3.599112
90% confidence interval is ( 3.582
< µ < 3.599 )
Standard deviation 0.08 is more wider
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