Constructing Confidence Intervals In Exercises 35–38, you are given the sample mean and the population standard deviation. Use this information to construct 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. 37. Maximum Daily Temperature From a random sample of 64 dates, the mean record high daily temperature in the Chicago, Illinois, area has a mean of 84.13°F. Assume the population standard deviation is 14.56°F. (Source: NOAA)
Constructing Confidence Intervals In Exercises 35–38, you are given the sample mean and the population standard deviation. Use this information to construct 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. 37. Maximum Daily Temperature From a random sample of 64 dates, the mean record high daily temperature in the Chicago, Illinois, area has a mean of 84.13°F. Assume the population standard deviation is 14.56°F. (Source: NOAA)
Constructing Confidence Intervals In Exercises 35–38, you are given the sample mean and the population standard deviation. Use this information to construct 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals.
37. Maximum Daily Temperature From a random sample of 64 dates, the mean record high daily temperature in the Chicago, Illinois, area has a mean of 84.13°F. Assume the population standard deviation is 14.56°F. (Source: NOAA)
Definition Definition Number of subjects or observations included in a study. A large sample size typically provides more reliable results and better representation of the population. As sample size and width of confidence interval are inversely related, if the sample size is increased, the width of the confidence interval decreases.
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