In a random sample of 20 people, the mean commute time to work was 34.8 minutes and the standard deviation was 7.2 minutes. Assume the population is normally distributed and use a t-distribution to construct a \( 98 \% \) confidence interval for the population mean \( \mu \). What is the margin of error of \( \mu \) ? Interpret the results. The confidence interval for the population mean \( \mu \) is ( (Round to one decimal place as needed.) The margin of error of \( \mu \) is (Round to one decimal place as needed.) Interpret the results. B. With \( 98 \% \) confidence, it can be said that the population mean commute time is between the bounds of the confidence interval. C. With \( 98 \% \) confidence, it can be said that the commute time is between the bounds of the confidence interval. D. If a large sample of people are taken approximately \( 98 \% \) of them will have commute times between the bounds of the confidence interval.

summarize your understanding of the role statistics play in managerial decision-making.

A correlation greater than 1 indicates a perfect relationship (A) True (B) False

Use the sample data and confidence level given below to complete parts (a) through (d). A drug is used to help prevent blood clots in certain patients. In clinical trials, among 4140 patients treated with the drug, 137 developed the adverse reaction of nausea. Construct a \( 90 \% \) confidence interval for the proportion of adverse reactions. a) Find the best point estimate of the population proportion p. (Round to three decimal places as needed.)

The bivariate hypothesis-testing procedure that is used when both the independent and dependent variables are continuous is (A) Continuous hypothesis test (B) Pearson's correlation (C) Analysis of variance (D) continuous samples t-test

You are a journalist working on an article about the nursing profession. Survey data shows that 355 out of 1000 nurses surveyed are considering a different career. If the survey ratio is accurate and there are about 4.8 million nurses registered in the United States, about how many million nurses nationwide are considering a different career?