A data set Includes 109 body temperatures of healthy sdult humans having a mean of 98.2°F and a standard deviation of 0.62°F. Construct a 99% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6°F as the mean body temperature?

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What is the confidence interval estimate of the population mean p?

7°F

(Round to three decimal places as needed.)

What does this suggest about the use of 98.6°F as the mean body temperature?

O A. This suggests that the mean body tamperaturd could very possibly be 98.6°F.

• B. This suggests that the mean body temperature is lower than 98.6°F.

O c. This suggests that the mean body temperature is higher than 98.6°F.

Construct a 95% confidence interval for the population mean. Assume the population has a normal distribution. A sample of 25 randomly selected students has a mean test score of 81.5 with a standard deviation of 10.2

From the normally distributed systolic blood pressures of a given patient population with a standard deviation of 20 mm Hg, a physician took a random sample of 16 subjects and found that the mean systolic blood pressure(BP) was 124 mm Hg. Use this information to construct a 99% confidence interval for the mean of the patient population.

A simple random sample of size n is drawn from a population that is known to be normally distributed. The sample mean, x¯\bar{x}xˉ, is determined to be 104.3 and the sample standard deviation, s, is determined to be 15.9. (a) Construct the 90% confidence interval for the population mean if the sample size, n, is 15. (b) Construct the 90% confidence interval for the population mean if the sample size, n, is 25. How does increasing the sample size affect the width of the interval? (c) Construct the 95% confidence interval for the population mean if the sample size, n, is 15. Compare the results to those obtained in part (a). How does increasing the level of confidence affect the confidence interval? (d) Construct the 90% confidence interval for the population standard deviation if the sample size, n, is 15.�