In: Statistics and Probability
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 6060 home theater systems has a mean price of $135.00135.00. Assume the population standard deviation is $15.8015.80. Construct a 90% confidence interval for the population mean.
The 90% confidence interval is (_,_). (Round to two decimal places as needed.)
Construct a 95% confidence interval for the population mean. The 95% confidence interval is (_,_). (Round to two decimal places as needed.) Interpret the results.
Choose the correct answer below.
A. With 90% confidence, it can be said that the population mean price lies in the first interval. With 95% confidence, it can be said that the population mean price lies in the second interval. The 95% confidence interval is wider than the 90%.
B. With 90% confidence, it can be said that the population mean price lies in the first interval. With 95% confidence, it can be said that the population mean price
The provided sample mean is Xˉ=135
and the population standard deviation is σ=15.80.
The size of the sample is n = 60
and the required confidence level is 90%.
Based on the provided information, the critical z-value for
α=0.1 is z_c = 1.645
The 90% confidence for the population mean μ is computed using the following expression
Therefore, based on the information provided, the 90 % confidence for the population mean μ is
The provided sample mean is Xˉ=135
and the population standard deviation is σ=15.80.
The size of the sample is n = 60
and the required confidence level is 95%.
Based on the provided information, the critical z-value for
α=0.05 is z_c = 1.96
The 95% confidence for the population mean μ is computed using the following expression
Therefore, based on the information provided, the 95 % confidence for the population mean μ is
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