Question

Salary information regarding employees of two retail chains s is shown below. Store 1 Store 2...

Salary information regarding employees of two retail chains s is shown below.

Store 1

Store 2

Sample Size

35

38

Sample Mean Salary (in 1,000)

45.6

40.1

Sample Standard Deviation

12.5

10.5

1.   What is the null and alternative hypothesis if we want to determine whether the mean salary of employees of the two retail chains is different? (2 Points)

2.   Calculate the t statistic (2 Points)

3.   Using a level of significance of 0.05, what is the rejection rule for this test using the critical value approach? The degrees of freedom (df) for this test has been calculated and is equal to 66. (2 Points)

4.   Based on the above, what is the conclusion of this statistical test? (2 Points)

Show all steps please

Homework Answers

Answer #1

Solution1:

Ho:

Ha:

alpha=0.05

Solution-2:

t=x1bar-xbar/sqrt(s1^2/n1+s2^2/n2)

=(45.6-40.1)/sqrt(12.5^2/35+10.5^2/38)

t=2.027

Solution-3"

df=66

t crit in excel

=T.INV.2T(0.05,66)

=1.996564

rejection region:t<-1.996564 or t>1.996564

t stat =2.027>1.996564

Reject Ho

Accept Ha.

Solution-4:

Conclusion:

There is sufficient statistical evidence at 5% level of significance to conclude that he mean salary of employees of the two retail chains is different

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
Salary information regarding employees of two retail chains s is shown below. Store 1 Store 2...
Salary information regarding employees of two retail chains s is shown below. Store 1 Store 2 Sample Size 35 38 Sample Mean Salary (in 1,000) 45.6 40.1 Sample Standard Deviation 12.5 10.5 1.   What is the null and alternative hypothesis if we want to determine whether the mean salary of employees of the two retail chains is different? (2 Points) 2.   Calculate the t statistic (2 Points) 3.   Using a level of significance of 0.05, what is the rejection rule for this test...
Salary information regarding male and female employees of a large company is shown below. Male Female...
Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size: 64 36 Sample Mean Salary (in $1,000): 44 41 Population Variance:    128 72 1.) The standard error for the difference between the two means is 2.) The point estimate of the difference between the means of the two populations is 3.) At 95% confidence, the margin of error is 4.)  The 95% confidence interval for the difference between the means of the two...
The management of ABC Ltd. wants to determine whether there is a significant difference in the...
The management of ABC Ltd. wants to determine whether there is a significant difference in the average length of time (in minutes) employees spent on social media every day within its two regions. The following data has been accumulated for this test: Region 1 Region 2 Sample Mean 22.5 16.4 Sample Standard Deviation 10.5 12.3 Sample Size 44 43 1.   What are the null and alternative hypothesis if we want to determine whether the average length of time employees spent on...
Salary information regarding male and female employees of a large company is shown below. Male Female...
Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 64 36 Sample Mean Salary (in $1000) 44 41 Population Variance (σ2) 128 72 The 95% confidence interval for the difference between the means of the two populations is a. -1.96 to 1.96. b. -.92 to 6.92. c. 0 to 6.92. d. -2 to 2.
Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below....
Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 64 36 Sample Mean Salary (in $1,000) 44 41 Population Variance 128 72 ​ ​ Refer to Exhibit 10-1. If you are interested in testing whether or not the average salary of males is significantly greater than that of females, using a 5% level of significance, the conclusion is ( Use Excel) Question 6 options: A the average salary of...
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 (Population 1) Female (Population 2) Sample size 64 36 Sample mean salary (in $1000s) 44 41 Population variance 128 72 Refer to Exhibit 10-1. The sample suggests that men get paid more than women. We want to test if this is true. Develop a null hypothesis and alternative hypothesis to test this question. a. H0: Mu1 - Mu2...
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...
A major retail clothing store is interested in estimating the difference in mean monthly purchases by...
A major retail clothing store is interested in estimating the difference in mean monthly purchases by customers who use the store's in-house credit card versus using a Visa, Mastercard, or one of the other major credit cards. To do this, it has randomly selected a sample of customers who have made one or more purchases with each of the types of credit cards. The following represents the results of the sampling: In House Credit Card National Credit Card Sample Size...
Use the following to answer the next 2 questions. Do government employees take longer coffee breaks...
Use the following to answer the next 2 questions. Do government employees take longer coffee breaks than private sector workers? That is a question that interested a management consultant. To examine the issue, he took a random sample of ten government employees and another random sample of ten private sector workers and measured the amount of time (in minutes) they spent in coffee breaks during the day (the samples are assumed to be independent). PS: Relevant outputs are given below;...
Use this information to answer Question 1 to Question 4: The management XYC Inc. wants to...
Use this information to answer Question 1 to Question 4: The management XYC Inc. wants to determine whether there is a signicant dierence in the average length of time (in minutes) employees spent on Emails every day within its two operating divisions at α = 0.05. The following data has been accumulated for this test. (The degrees of freedom associated with test statistic is given to be 59) Division 1 Division 2 Sample Mean 56.8 60.3 Sample Standard Deviation 10...