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 after Descriptive Statistics Total male. Total female male Total 11.43 11.34 11.39 11.19 11.52 11.36 11.31 11.43 11.37 Source Corrected Model Intercept Time Gender Time * Gender Error Total Dependent Variable: Attitude Std. Deviation 2.309 2.205 2.254 2.316 2.270 2.295 2.312 2.236 2.273 Type III Sum of Squares Tests of Between-Subjects Effects 8.433ª 74989.698 df N 145 145 290 145 145 290 290 290 580 3 1 .140 1 1.878 1 6.416 1 2982.869 576 77981.000 580 Corrected Total 2991.302 579 a. R Squared= .003 (Adjusted R Squared=-.002) Mean Square 2.811 74989.698 .140 1.878 6.416 5.179 F .543 14480.712 .027 .363 1.239 Sig. 653 .000 .870 .547 266 Conduct all necessary statistical tests at .05 level of significance, and fully interpret the results.

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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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 11.43 11.34 11.39 11.19 11.52 11.36 11.31 11.43 11.37 Source Corrected Model Intercept Time Gender Time Gender Error Total Dependent Variable: Attitude Type III Sum of Squares Std. Deviation 2.309 2.205 2.254 2.316 2.270 2.295 2.312 2.236 2.273 Tests of Between-Subjects Effects 8.433a 74989.698 .140 1.878 6.416 df 3 1 1 1 1 576 580 579 N 145 145 290 145 145 290 290 290 580 Mean Square 2.811 2982.869 77981.000 Corrected Total 2991.302 a. R Squared= .003 (Adjusted R Squared =-.002) 74989.698 .140 1.878 6.416 5.179 F .543 14480.712 .027 .363 1.239 Sig. .653 .000 .870 .547 .266 Conduct all necessary statistical tests at .05 level of significance, and fully interpret the results. <

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