Exhibit 10-1 Salary information regarding two independent random samples of male and female employees of a large company is shown below. Sample size Sampe mean salary (in $1000s) Population variance Male 64 44 128 Female 36 41 72 Refer to Exhibit 10-1. At 95% confidence, we have enough evidence to conclude that the O a average salary of males is significantly lower than females O b. salaries of males and females are equal O caverage salary of males is significantly greater than females O d. null hypothesis fails to be rejected

Textbook authors must be careful that the reading level of their book is appropriate for the target audience. Some methods of assessing reading level require estimating the average word length. We've randomly chosen 20 words from a randomly selected page in Intro Stats and counted the number of letters in each word: 5, 5, 2, 11, 3, 5, 6, 8, 5, 4, 7, 2, 9, 4, 8, 10, 4, 7, 6, 9 Suppose that our editor was hoping that the book would have a mean word length of 6.8 letters. Does this sample indicate that the authors failed to meet this goal? With a significance level of 0.05, test an appropriate hypothesis and state your conclusion. (i.e state the appropriate null and alternative hypotheses, calculate the test statistic, conclude and interpret it).

Question 4 of 10, step Calculate the margin of error of a confidence interval for the difference between two population means using the given information. Round your answer to six decimal places e, 14. n, 88 ₂ 10.72, ny71.c 0.95