Question

In 1. Relationship Salary – Gender, you are asked to conclude whether there is a significant...

In 1. Relationship Salary – Gender, you are asked to conclude whether there is a significant difference between the salaries of the male and female executives using confidence intervals. Which of the following statements is correct?

(a) The 99.9% confidence interval for the average male salary is [$65444, $76573] and for average female salary is [$57217, $67937]. There is no significant difference at the 0.1% significance level.

(b) The 95% confidence interval for the average male salary is [$67953, $74064] and for average female salary is [$59614, $65540]. There is a significant difference at the 5% significance level.

(c) Both (a) and (b) are correct.

(d) Both (a) and (b) are incorrect

Homework Answers

Answer #1

1. Here for the given statement

(c) Both (a) and (b) are correct.

because, for statement (a) the average female salary is [$57217, $67937] and some female salary is equal to the average male salary is [$65444, $76573]. Therefore, there is no significant difference at the 0.1% significance level.

and for statement (b) the average female salary is [$59614, $65540] and no female salary is equal to the average male salary is [$67953, $74064]. therefore, there is a significant difference at the 5% significance level.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A researcher wants to study the relationship between salary and gender. She randomly selects 316individuals and...
A researcher wants to study the relationship between salary and gender. She randomly selects 316individuals and determines their salary and gender. Can the researcher conclude that salary and gender are dependent? Income Male Female Total Below $25,000$ 36 68 104 $⁢25,000-$50,000 54 43 97 $⁢50,000-$75,000 42 31 73 Above $75,000 23 19 42 Total 155 161 316 -Find the critical value of the test at the 0.01 level of significance. Round your answer to three decimal places. -Make the decision...
A random sample of 150 egg lovers is asked to state their gender and egg preference....
A random sample of 150 egg lovers is asked to state their gender and egg preference. The results are recorded in the table. Gender Fried Poached Scrambled Boiled Male 22 21 16 18 Female 25 13 21 4 A chi-square test is used to test the null hypothesis that gender and egg preference are independent. Which of the following statements is correct? A)  Fail to reject H0 at the 0.3 significance level. B)  Fail to reject H0 at the 0.1 significance level....
A random sample of 200 employees at a specific company is asked to state their gender...
A random sample of 200 employees at a specific company is asked to state their gender and annual salary. The results are recorded in the table. Gender $50,000 $75,000 $100,000 >$100,000 Male 29 34 12 20 Female 41 44 6 14 A chi-square test is used to test the null hypothesis that gender and salary are independent. Which statement is correct? Fail to reject H0 at the 0.10 significance level. Fail to reject H0 at the 0.5 significance level. Reject...
Use the same dataset in StatCrunch, “NSF Salary and Gender PROJECT comparison,” which gives the salaries...
Use the same dataset in StatCrunch, “NSF Salary and Gender PROJECT comparison,” which gives the salaries of Doctoral recipients by gender. Assume that this data was obtained from random sampling. Give a 99% confidence interval for the difference in the mean salaries of men and women. Include the sample statistics, degrees of freedom, LaTeX: t_{\frac{\alpha}{2}}t α 2and standard error. b. Based on your confidence interval to you think there is a significant difference?
A controversial study was recently written in a New York newspaper.  The study estimated the difference in...
A controversial study was recently written in a New York newspaper.  The study estimated the difference in salary between male and female lawyers in New York. They collected some large random sample data and constructed a 99% confidence interval estimate of the difference between mean average hourly pay for male lawyers and for female lawyers.  Male hourly pay was population 1 and female hourly pay was population 2 (male pay – female pay).  Assume the samples met all the assumptions for inference.   (-$91.48,...
Exhibit 10-1 Salary information regarding two independent random samples of male and female employees of a...
Exhibit 10-1 Salary information regarding two independent random samples of male and female employees of a large company is shown below. Male Female Sample size 64 36 Sample mean salary (in $1000s) 44 41 Population variance 128 72 Refer to Exhibit 10-1. At 95% confidence, we have enough evidence to conclude that the  _____. a. We fail to reject the null hypothesis; we conclude that the average average salary of males is at least as much as females. b. We reject...
Independent simple random samples are taken to test the difference between the means of two populations...
Independent simple random samples are taken to test the difference between the means of two populations whose variances are not known. Given the sample sizes are n1 = 11 and n2 = 16; and the sample variances are S12 = 33 and S22 = 64, what is the correct distribution to use for performing the test? A. t distribution with 49 degrees of freedom B. t distribution with 59 degrees of freedom C. t distribution with 24 degrees of freedom...
In a wage discrimination case involving male and female employees, independent samples of male and female...
In a wage discrimination case involving male and female employees, independent samples of male and female employees with 5 or more years of experience in the same position provided the following salary data (in thousands): FEMALE: 28, 25, 26, 27, 27, 26, 28, 24, 25, 29, 29, 29 MALE: 26, 23, 25, 23, 27, 24, 29, 27, 23, 26, 26, 24 A. Using the partial Excel output provided below, construct a 95% confidence interval estimate of the mean difference in...
A management consultant wants to determine whether the age and gender of a restaurant’s wait staff...
A management consultant wants to determine whether the age and gender of a restaurant’s wait staff influence the size of the tip the customer leaves. Three age brackets (factor A in columns: young, middle-age, older) and gender (factor B in rows: male, female) are used to construct a two-way ANOVA experiment with interaction. For each combination, the percentage of the total bill left as a tip for 10 wait staff is examined. The following ANOVA table is produced. ANOVA Source...
A group of sociologists conducted an analysis of the gender gap in faculty salaries. Data consistently...
A group of sociologists conducted an analysis of the gender gap in faculty salaries. Data consistently indicate how women faculty members earn less than their male counterparts. Differences have been attributed to individual difference, as well as employer and institutional discrimination. For their analysis the sociologists obtained salary data on 158 men and 148 women, randomly chosen, from a large public research university. Men were estimated to earn an average of $42,340 with a standard deviation of $9,639.19, while women...