Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. Click the icon to view the pulse rates for adult females and adult males. Construct a 95% confidence interval of the mean pulse rate for adult females. bpm < < bpm (Round to one decimal place as needed.) a 90% confidence interval of the mean pulse rate for adult males. b) construct a (Round to decimal) In a test of the effectiveness of garlic for lowering cholesterol, 49 subjects were treated with garlic in a processed tablet form. Cholesterol levels were measured before and after the treatment. The changes (before-after) in their levels of LDL cholesterol (in mg/dL) have a mean of 4.5 and a standard deviation of 18.8. Construct a 99% confidence interval estimate of the mean net change in LDL cholesterol after the garlic treatment. What does the confidence interval suggest about the effectiveness of garlic in reducing LDL cholesterol? Click here to view at distribution table. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. What is the confidence interval estimate of the population mean ? mg/dL The pulse rates of 151 randomly selected adult males vary from a low of 42 bpm to a high of 118 bpm. Find the minimum sample size required to estimate the me pulse rate of adult males. Assume that we want 95% confidence that the sample mean is within 2 bpm of the population mean. Complete parts (a) through (c) belo a. Find the sample size using the range rule of thumb to estimate . = Round up to the nearest whole number as needed.) An IQ test is designed so that the mean is 100 and the standard deviation is 19 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of nurses such that it can be said with 99% confidence that the sample mean is within 4 IQ points of the true mean. Assume that = 19 and determine the required sample size using technology. Then determine if this is a reasonable sample size for a real world calculation. The required sample size is (Round up to the nearest integer.) Assume that we want to construct a confidence interval. Do one of the following, as appropriate. (a) Find the critical value Za/2; (b) find the critical value ta/2, or (c) state that neither the normal nor the t distribution applies. Confidence level is 90%, = 24.3, and the histogram of right-eye vision measurements from a random sample of 57 adult males is shown to the right. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. OA. Za/2= (Round to two decimal places as needed.) B. 1/2 = (Round to two decimal places as needed.) OC. Neither the normal nor the t distribution applies. Frequency Q 50- 40- 30- 20 10- 0 50 100 150 200 Vision in Right Eye Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value t/2, (b) find the critical value Za/2, or (c) state that neither the normal distribution nor the t distribution applies. Here are summary statistics for randomly selected weights of newborn girls: n = 252, x=33.4 hg, s = 7.7 hg. The confidence level is 90%. Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. ta/2= (Round to two decimal places as needed.) B. Za 12 (Round to two decimal places as needed.) OC. Neither the normal distribution nor the t distribution applies. 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 95% confidence interval estimate of the mean amount of mercury in the population. Does it appear that there is too much mercury in tuna sushi? 0.59 0.71 0.10 0.93 1.36 0.55 0.90 What is the confidence interval estimate of the population mean p? ppm A clinical trial was conducted to test the effectiveness of a drug for treating insomnia in older subjects. Before treatment, 21 subjects had a mean wake time of 105.0 min. After treatment, the 21 subjects had a mean wake time of 95.8 min and a standard deviation of 24.2 min. Assume that the 21 sample values appear to be from a normally distributed population and construct a 99% 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 105.0 min before the treatment? Does the drug appear to be effective? Construct the 99% confidence interval estimate of the mean wake time for a population with the treatment. min > Find the critical value z/2 that corresponds to the given confidence level. 83% Za/2= (Round to two decimal places as needed.) A data set includes 104 body temperatures of healthy adult humans having a mean of 98.7F and a standard deviation of 0.66F. Construct a 99% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6F as the mean body temperature? Click here to view at distribution table. Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table. What is the confidence interval estimate of the population mean ? F < < F (Round to three decimal places as needed.) Here are summary statistics for randomly selected weights of newborn girls: n = 173, x=29.8 hg, s = 6.6 hg. Construct a confidence interval estimate of the mean. Use a 95% confidence level. Are these results very different from the confidence interval 28.8 hg Assume that all grade-point averages are to be standardized on a scale between 0 and 5. How many grade-point averages must be obtained so that the sample mean is within 0.012 of the population mean? Assume that a 95% confidence level is desired. If using the range rule of thumb, can be estimated as range 5-0 = = 1.25. Does the sample size seem practical? 4 4 The required sample size is . (Round up to the nearest whole number as needed.)