Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Confidence interval Pulse rate is an important measure of the fitness of a person's cardiovascular system. The mean pulse rate for all U.S. adult males is approximately 72 heart beats per minute. A random sample of 21 U.S. male adults who jog at least 15 miles per week had a mean pulse rate of 52.6 beats per minute and a standard deviation of 3.22 beats per minute. What is the 95% confidence interval for the mean pulse rate of all U.S. adult males who jog at least 15 miles per week. Solution. Denote by x the sample mean pulse rate , denote by s the sample standard deviation, and denote by n the sample size. By hypothesis, x 52.6, s 3.22, n 21 . By looking up the t-value table, we have t 0.025 (20) . So, the 95% confidence interval for the mean pulse rate of all U.S. adult males who jog at least 15 miles per week is ( x sn t 0.025 ( 20)) (52.6 3.22 * 2.086) 21 (52.6 1.5) (51.1,54.1) So, a 95% confidence interval for the mean pulse rate of all U.S. adult males who jog at least 15 miles per week is (51.1, 54.1). How do I interpret the interval found above? and does it appear that jogging at least 15 miles per week reduces the mean pulse rate for adult males? By the above, we know that a 95% confidence interval for the mean pulse rate of all U.S. adult males who jog at least 15 miles per week is (51.1, 54.1), which means that the mean pulse rate is in (51.1, 54.1) with probability 95%. Yes, it supports the claim that jogging at least 15 miles per week reduces the mean pulse rate for adult males, since 72 is not in (51.1, 54.1). We can test it as follows. Null hypothesis H0: 72 Alternative hypothesis H1: 72 . We use t-test. Compute the t-statistic t x s72 n 523.6.2272 21 27.61 Then we can compute the p-value at http://duke.usask.ca/~rbaker/Tables.html to get p-value=0.0 So, we should reject the null hypothesis H0. What assumptions are required for the validity of the CI? We need to assume that the pulse rate (roughly )follows normal distribution for the validity of the CI.