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As the manager of a fashion brand, you have recently run a large-scale campaign to draw attent your company's CSR activities and thus improve the brand's image. In order to evaluate the effi of the campaign, you conducted a survey at major fashion stores to measure the attitudes towa your brand at two points of time: before the campaign started and after the campaign finished... summing up respondents' answers to 3 questions (each measuring a particular aspect of attituc a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude an score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campa may have affected males and females differently, you ask the respondents to report their gende You analyse the data gathered in the two surveys in SPSS. The output is shown below.

As the manager of a fashion brand, you have recently run a large-scale campaign to draw attent your company's CSR activities and thus improve the brand's image. In order to evaluate the effi of the campaign, you conducted a survey at major fashion stores to measure the attitudes towa your brand at two points of time: before the campaign started and after the campaign finished... summing up respondents' answers to 3 questions (each measuring a particular aspect of attituc a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude an score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campa may have affected males and females differently, you ask the respondents to report their gende You analyse the data gathered in the two surveys in SPSS. The output is shown below.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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As the manager of a fashion brand, you have recently run a large-scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards. your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the data gathered in the two surveys in SPSS. The output is shown below. Dependent Variable: Attitude Time Gender Mean before female male Total female male Total female male Total after Descriptive Statistics Total Source Corrected Model 11.28 11.02 11.15 11.84 11.69 11.77 11.56 11.36 11.46 Intercept Time Gender Time Gender Erron Total Std. Deviation 2.307 2.250 2.278 2.203 2.096 2.147 2.269 2.195 2.233 Dependent Variable: Attitude Type III Sum of Squares 53.165 66171.875 47.669 5.161 .335 df Tests of Between-Subjects Effects 3 1 1 1 1 500 504 503 N 126 126 252 126 126 252 252 2453.960 68679.000 Corrected Total 2507.125 a. R Squared= .021 (Adjusted R Squared= .015) 252 504 Mean Square 17.722 66171.875 47.669 5.161 335 4.908 F 3.611 13482.670 9.713 1.052 068 Sig. 013 000 002 306 794 Conduct all necessary statistical tests at .05 level of significance, and fully interpret the results.
Transcribed Image Text:As the manager of a fashion brand, you have recently run a large-scale campaign to draw attention to your company's CSR activities and thus improve the brand's image. In order to evaluate the efficiency of the campaign, you conducted a survey at major fashion stores to measure the attitudes towards. your brand at two points of time: before the campaign started and after the campaign finished. By summing up respondents' answers to 3 questions (each measuring a particular aspect of attitude on a 1-5 scale), a single overall measure of attitude is obtained for each participant. This measure can therefore range from 3 to 15, with a score of 3 representing and extremely negative attitude and a score of 15 representing an extremely positive attitude. To check whether male and female customers have different attitudes towards you company, as well as to test whether the campaign may have affected males and females differently, you ask the respondents to report their gender. You analyse the data gathered in the two surveys in SPSS. The output is shown below. Dependent Variable: Attitude Time Gender Mean before female male Total female male Total female male Total after Descriptive Statistics Total Source Corrected Model 11.28 11.02 11.15 11.84 11.69 11.77 11.56 11.36 11.46 Intercept Time Gender Time Gender Erron Total Std. Deviation 2.307 2.250 2.278 2.203 2.096 2.147 2.269 2.195 2.233 Dependent Variable: Attitude Type III Sum of Squares 53.165 66171.875 47.669 5.161 .335 df Tests of Between-Subjects Effects 3 1 1 1 1 500 504 503 N 126 126 252 126 126 252 252 2453.960 68679.000 Corrected Total 2507.125 a. R Squared= .021 (Adjusted R Squared= .015) 252 504 Mean Square 17.722 66171.875 47.669 5.161 335 4.908 F 3.611 13482.670 9.713 1.052 068 Sig. 013 000 002 306 794 Conduct all necessary statistical tests at .05 level of significance, and fully interpret the results.
Expert Solution
Step 1

Consider the partial output of SPSS

Statistics homework question answer, step 1, image 1

The level of significance is, α=0.05

Decision rule:

Reject the null hypothesis and conclude that the means are significant if p-value is less than 0.05

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