An online clothing retailer is testing a new e-mail campaign by sending one version of the e-mail with the word “free” in the subject line (version A) to a group of 1,500 customers and another version of the e-mail with word “discount” in the subject line (version B) to a different group of 1500 customers. After tracking the responses to the two versions of the e-mail advertising, the retailer finds that 75 responded to version A and 105 responded to version B. At 0.05 significance level, can it be concluded that the response rate for version B is higher than the response rate to version A What is your decision? Enter “R” if your decision is to reject the null hypotheses. Enter “F” if the decision is fail to/do not reject the null hypotheses. Your answer (R/F) is: Which of the followings is the most appropriate conclusion for the hypotheses test? Enter the number corresponding to the most appropriate conclusion in the answer box. For example, if statement number 2 is the most appropriate conclusion then enter “2” in the answer text box. With 95% confidence we can conclude that: The data support that the consumer response rate is higher for version B than version A. The data does not support that the consumer response rate is higher for version B than version A. The data support that the consumer response rate is higher for version A than version B. The data does not support that the consumer response rate is higher for version A than version B.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter2: Systems Of Linear Equations

Section2.4: Applications

Problem 28EQ

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An online clothing retailer is testing a new e-mail campaign by sending one version of the e-mail with the word “free” in the subject line (version A) to a group of 1,500 customers and another version of the e-mail with word “discount” in the subject line (version B) to a different group of 1500 customers. After tracking the responses to the two versions of the e-mail advertising, the retailer finds that 75 responded to version A and 105 responded to version B. At 0.05 significance level, can it be concluded that the response rate for version B is higher than the response rate to version A

What is your decision?

Enter “R” if your decision is to reject the null hypotheses. Enter “F” if the decision is fail to/do not reject the null hypotheses.

Your answer (R/F) is:

Which of the followings is the most appropriate conclusion for the hypotheses test?

Enter the number corresponding to the most appropriate conclusion in the answer box. For example, if statement number 2 is the most appropriate conclusion then enter “2” in the answer text box.

With 95% confidence we can conclude that:

The data support that the consumer response rate is higher for version B than version A.
The data does not support that the consumer response rate is higher for version B than version A.
The data support that the consumer response rate is higher for version A than version B.
The data does not support that the consumer response rate is higher for version A than version B.

Your answer is:

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