Question

1)A data set includes 108 body temperatures of healthy adult humans having a mean of 98.2degreesF and a standard deviation of 0.64degreesF. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6degreesF as the mean body​ temperature? What is the confidence interval estimate of the population mean mu​?

2)A clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects. Before​ treatment, 24 subjects had a mean wake time of 104.0 min. After​ treatment, the 24 subjects had a mean wake time of 97.8 min and a standard deviation of 21.9 min. Assume that the 24 sample values appear to be from a normally distributed population and construct a 95​% confidence interval estimate of the mean wake time for a population with drug treatments. What does the result suggest about the mean wake time of 104.0 min before the​ treatment? Does the drug appear to be​ effective?

3)A food safety guideline is that the mercury in fish should be below 1 part per million​ (ppm). Listed below are the amounts of mercury​ (ppm) found in tuna sushi sampled at different stores in a major city. Construct a 98​% confidence interval estimate of the mean amount of mercury in the population. Does it appear that there is too much mercury in tuna​ sushi? 0.53  0.69  0.10  0.93  1.34  0.55  0.94 What is the confidence interval estimate of the population mean mu​?

4)The display provided from technology available below results from using data for a smartphone​ carrier's data speeds at airports to test the claim that they are from a population having a mean less than 4.00 Mbps. Conduct the hypothesis test using these results. Use a 0.05 significance level. Identify the null and alternative​ hypotheses, test​ statistic, P-value, and state the final conclusion that addresses the original claim.What are the null and alternative​ hypotheses?

Answer 1