I want to explain the meaning of this answer, especially d what does this question mean? How did you get Z *

Page 5 Problem 5. This year, a random sample of 172 marketing students was asked to rate, on a scale from 1 (not important) to 5 (extremely important), health benefits as a job characteristic. The sample mean rating was 3.4, and the sample standard deviation was 0.70. a. Test at the 1% significance level the null hypothesis that the population mean rating is at most 3.31 against the alternative that it is larger than 3.31. (Please clearly indicate the 5 steps.) Ho: H 3.31 3.4-3.31 = 1.69 0.7/V172 P(Z > 1.69) = 0.0465 p-value>0.01 we don't reject Ho b. In this problem context, describe a type | error. When the true population mean rating is less or equal to 3.31, but we reject null hypothesis c. In this problem context, describe a type ll error. When the true population mean rating is larger than 3.31, but we accept null hypothesis d. Given the probability of the type | error is 1%, assuming the true mean rating is 3.5, what is the probability of Type II error. Z*=2.33 2.33 * 0.7 -+ 3.31 = 3.434 V172 B = P(Z S- 0.7 3.434-3.5) = P(Z