Exercise 1 Fortitude Insurance sells extended car warranties over the phone. They call people using random dialing. When recipients of the phone call press one on their phone, they are transferred to a sales agent. Sales agents are paid on commission. Management is concerned about the rapid turn-over of sales agents. They have decided to test a more lucrative commission plan. You have been hired to conduct this test. The research question: Does the new commission plan help sales agents increase their weekly sales commission? The significance level will be set at 5%. Step 1: Test Set-Up Question 1: How large a sample is needed to achieve 80% statistical power? Based on past research Cohen's d effect size is estimated at 0.40, which is a small effect. See the table below: Cohen's d ES Thresholds Small Medium Large 0.2 0.5 0.8 Here are the results of an a priori power analysis run using G*Power. Output parameters Noncentrality parameter 6 2.5612497 Critical t 1.6838510 Df 40 Total sample size 41 Actual power 0.8085822 Will a sample of 41 sales agents achieve statistical power of 80% or more? Place and X in the appropriation box: Answer: Yes No What would happen to statistical power if the estimate of Cohen's d effect size is wrong? Question 2: What two-sample test statistic should you use and why? Place an X in the correct box. Provide the reason for your answer below the checklist. z-test for z-test for Unequal s? Pooled s? proportions t-test t-test means What is your rationale for this answer?
Exercise 1 Fortitude Insurance sells extended car warranties over the phone. They call people using random dialing. When recipients of the phone call press one on their phone, they are transferred to a sales agent. Sales agents are paid on commission. Management is concerned about the rapid turn-over of sales agents. They have decided to test a more lucrative commission plan. You have been hired to conduct this test. The research question: Does the new commission plan help sales agents increase their weekly sales commission? The significance level will be set at 5%. Step 1: Test Set-Up Question 1: How large a sample is needed to achieve 80% statistical power? Based on past research Cohen's d effect size is estimated at 0.40, which is a small effect. See the table below: Cohen's d ES Thresholds Small Medium Large 0.2 0.5 0.8 Here are the results of an a priori power analysis run using G*Power. Output parameters Noncentrality parameter 6 2.5612497 Critical t 1.6838510 Df 40 Total sample size 41 Actual power 0.8085822 Will a sample of 41 sales agents achieve statistical power of 80% or more? Place and X in the appropriation box: Answer: Yes No What would happen to statistical power if the estimate of Cohen's d effect size is wrong? Question 2: What two-sample test statistic should you use and why? Place an X in the correct box. Provide the reason for your answer below the checklist. z-test for z-test for Unequal s? Pooled s? proportions t-test t-test means What is your rationale for this answer?
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
Related questions
Question
Please follow the instructions thank you
Transcribed Image Text:Exercise 1
Fortitude Insurance sells extended car warranties over the
phone. They call people using random dialing. When recipients
of the phone call press one on their phone, they are transferred
to a sales agent. Sales agents are paid on commission.
Management is concerned about the rapid turn-over of sales
agents. They have decided to test a more lucrative commission
plan. You have been hired to conduct this test. The research
question: Does the new commission plan help sales agents
increase their weekly sales commission? The significance
level will be set at 5%.
Step 1: Test Set-Up
Question 1: How large a sample is needed to achieve 80%
statistical power? Based on past research Cohen's d effect size
is estimated at 0.40, which is a small effect. See the table
below:
Cohen's d ES
Thresholds
Small
0.2
Medium
0.5
Large
0.8
Here are the results of an a priori power analysis run using
G*Power.
Output parameters
Noncentrality parameter 6
2.5612497
Critical t
1.6838510
Df
40
Total sample size
41
Actual power
0.8085822
Will a sample of 41 sales agents achieve statistical power
of 80% or more? Place and X in the appropriation box:
Answer:
Yes
No
What would happen to statistical power if the estimate of
Cohen's d effect size is wrong?
Question 2: What two-sample test statistic should you use
and why? Place an X in the correct box. Provide the reason
for your answer below the checklist.
z-test for
z-test for
Unequal s?
Pooled s?
means
proportions
t-test
t-test
What is your rationale for this answer?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL