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10.25 Purchasing souvenirs. A major tourist activity is shopping. Travel researchers estimate that nearly one-third of total R travel expenditures are used on shopping for souvenirs (Journal of Travel Research, May 2011). To investigate the impact of gender on souvenir shopping, a survey of 3,200 tourists was conducted. One question asked how often the tourist purchases photographs, postcards, or paintings of the region visited. Responses were recorded as “Always," "Often," "Occasionally," or "Rarely or Never." The table shows the percentages of tourists responding in each cat- egory, by gender. Photos, Postcards, Paintings Male Tourist Female Tourist Always Often 16% 27 28% 31 Occasionally Rarely or never 35 22 29 12 Totals 100% 100% Source: H. Wilkins, “Souvenirs: What and Why We Buy," Journal of Travel Research, Vol. 50, No. 3, May 2011 (adapted from Table 2). a. Based on the percentages shown in the table, do you think male and female tourists differ in their responses to purchasing photographs, postcards, or paintings? Why are these percentages alone insufficient to draw a conclu- sion about the true response category proportions? b. Assume that 1,500 males and 1,700 females partici- pated in the survey. Use these sample sizes and the percentages in the table to compute the counts of tour- ists in each of the Response/Gender categories. This represents the contingency table for the study. c. Specify the null and alternative hypotheses for test- ing whether male and female tourists differ in their responses to purchasing photographs, postcards, or paintings. d. An SPSS printout of the contingency table analysis is shown below. Locate the test statistic and p-value on the printout. e. Make the appropriate conclusion using a = .01. RESPONSE ' GENDER Crosstabulation GENDER Female Male Total RESPONSE 1:Always Count 476 240 716 Expected Count 380.4 335,6 716.0 2:0ften Count 527 405 932 Expected Count 495.1 436.9 932.0 3:0ccasionally Count 493 525 1018 Expected Count 540.8 477.2 1018.0 4:Rarely/Never Count 204 330 534 Expected Count 283.7 250,3 534.0 Total Count 1700 1500 3200 Expected Count 1700.0 1500,0 3200.0 Chi-Square Tests Asymp. Sig. (2-sided) Value df Pearson Chi-Square 112.433 3 .000 Likelihood Ratio 113.788 3 .000 Nof Valid Cases 3200 a. O cells (0.0%) have expected count less than 5, The minimum expected count is 250.31.

10.25 Purchasing souvenirs. A major tourist activity is shopping. Travel researchers estimate that nearly one-third of total R travel expenditures are used on shopping for souvenirs (Journal of Travel Research, May 2011). To investigate the impact of gender on souvenir shopping, a survey of 3,200 tourists was conducted. One question asked how often the tourist purchases photographs, postcards, or paintings of the region visited. Responses were recorded as “Always," "Often," "Occasionally," or "Rarely or Never." The table shows the percentages of tourists responding in each cat- egory, by gender. Photos, Postcards, Paintings Male Tourist Female Tourist Always Often 16% 27 28% 31 Occasionally Rarely or never 35 22 29 12 Totals 100% 100% Source: H. Wilkins, “Souvenirs: What and Why We Buy," Journal of Travel Research, Vol. 50, No. 3, May 2011 (adapted from Table 2). a. Based on the percentages shown in the table, do you think male and female tourists differ in their responses to purchasing photographs, postcards, or paintings? Why are these percentages alone insufficient to draw a conclu- sion about the true response category proportions? b. Assume that 1,500 males and 1,700 females partici- pated in the survey. Use these sample sizes and the percentages in the table to compute the counts of tour- ists in each of the Response/Gender categories. This represents the contingency table for the study. c. Specify the null and alternative hypotheses for test- ing whether male and female tourists differ in their responses to purchasing photographs, postcards, or paintings. d. An SPSS printout of the contingency table analysis is shown below. Locate the test statistic and p-value on the printout. e. Make the appropriate conclusion using a = .01. RESPONSE ' GENDER Crosstabulation GENDER Female Male Total RESPONSE 1:Always Count 476 240 716 Expected Count 380.4 335,6 716.0 2:0ften Count 527 405 932 Expected Count 495.1 436.9 932.0 3:0ccasionally Count 493 525 1018 Expected Count 540.8 477.2 1018.0 4:Rarely/Never Count 204 330 534 Expected Count 283.7 250,3 534.0 Total Count 1700 1500 3200 Expected Count 1700.0 1500,0 3200.0 Chi-Square Tests Asymp. Sig. (2-sided) Value df Pearson Chi-Square 112.433 3 .000 Likelihood Ratio 113.788 3 .000 Nof Valid Cases 3200 a. O cells (0.0%) have expected count less than 5, The minimum expected count is 250.31.

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
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10.25 Purchasing souvenirs. A major tourist activity is shopping. Travel researchers estimate that nearly one-third of total UVNR travel expenditures are used on shopping for souvenirs (Journal of Travel Research, May 2011). To investigate the impact of gender on souvenir shopping, a survey of 3,200 tourists was conducted. One question asked how often the tourist purchases photographs, postcards, or paintings of the region visited. Responses were recorded as “Always," "Often," “Occasionally," or "Rarely or Never." The table shows the percentages of tourists responding in each cat- egory, by gender. Photos, Postcards, Paintings Male Tourist Female Tourist Always Often 16% 27 28% Occasionally Rarely or never 35 22 31 29 12 Totals 100% 100% Source: H. Wilkins, “Souvenirs: What and Why We Buy," Journal of Travel Research, Vol. 50, No. 3, May 2011 (adapted from Table 2). a. Based on the percentages shown in the table, do you think male and female tourists differ in their responses to purchasing photographs, postcards, or paintings? Why are these percentages alone insufficient to draw a conclu- sion about the true response category proportions? b. Assume that 1,500 males and 1,700 females partici- pated in the survey. Use these sample sizes and the percentages in the table to compute the counts of tour- ists in each of the Response/Gender categories. This represents the contingency table for the study. c. Specify the null and alternative hypotheses for test- ing whether male and female tourists differ in their responses to purchasing photographs, postcards, or paintings. d. An SPSS printout of the contingency table analysis is shown below. Locate the test statistic and p-value on the printout. e. Make the appropriate conclusion using a = .01. RESPONSE ' GENDER Crosstabulation GENDER Female Male Total RESPONSE 1:Always Count 476 240 716 Expected Count 380.4 335,6 716.0 2:0ften Count 527 405 932 Expected Count 495.1 436.9 932.0 3:0ccasionally Count 493 525 1018 10 Expected Count 540.8 477.2 1018.0 4:Rarely/Never Count 204 330 534 TR Expected Count 283,7 250.3 534.0 Total Count 1700 1500 3200 Expected Count 1700.0 1500,0 3200.0 Chi-Square Tests Asymp. Sig. (2-sided) Value df 112.433 113.788 Pearson Chi-Square .000 Likelihood Ratio 3 .000 Nof Valid Cases 3200 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 250.31.
Transcribed Image Text:10.25 Purchasing souvenirs. A major tourist activity is shopping. Travel researchers estimate that nearly one-third of total UVNR travel expenditures are used on shopping for souvenirs (Journal of Travel Research, May 2011). To investigate the impact of gender on souvenir shopping, a survey of 3,200 tourists was conducted. One question asked how often the tourist purchases photographs, postcards, or paintings of the region visited. Responses were recorded as “Always," "Often," “Occasionally," or "Rarely or Never." The table shows the percentages of tourists responding in each cat- egory, by gender. Photos, Postcards, Paintings Male Tourist Female Tourist Always Often 16% 27 28% Occasionally Rarely or never 35 22 31 29 12 Totals 100% 100% Source: H. Wilkins, “Souvenirs: What and Why We Buy," Journal of Travel Research, Vol. 50, No. 3, May 2011 (adapted from Table 2). a. Based on the percentages shown in the table, do you think male and female tourists differ in their responses to purchasing photographs, postcards, or paintings? Why are these percentages alone insufficient to draw a conclu- sion about the true response category proportions? b. Assume that 1,500 males and 1,700 females partici- pated in the survey. Use these sample sizes and the percentages in the table to compute the counts of tour- ists in each of the Response/Gender categories. This represents the contingency table for the study. c. Specify the null and alternative hypotheses for test- ing whether male and female tourists differ in their responses to purchasing photographs, postcards, or paintings. d. An SPSS printout of the contingency table analysis is shown below. Locate the test statistic and p-value on the printout. e. Make the appropriate conclusion using a = .01. RESPONSE ' GENDER Crosstabulation GENDER Female Male Total RESPONSE 1:Always Count 476 240 716 Expected Count 380.4 335,6 716.0 2:0ften Count 527 405 932 Expected Count 495.1 436.9 932.0 3:0ccasionally Count 493 525 1018 10 Expected Count 540.8 477.2 1018.0 4:Rarely/Never Count 204 330 534 TR Expected Count 283,7 250.3 534.0 Total Count 1700 1500 3200 Expected Count 1700.0 1500,0 3200.0 Chi-Square Tests Asymp. Sig. (2-sided) Value df 112.433 113.788 Pearson Chi-Square .000 Likelihood Ratio 3 .000 Nof Valid Cases 3200 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 250.31.
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