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(Solved): Spa Satisfaction 5. Spa services, such as massages, facials, and wellness therapies, contribute to p ...



Spa Satisfaction 5. Spa services, such as massages, facials, and wellness therapies, contribute to passenger relaxation and overall cruise enjoyment. To evaluate the quality of the spa services across three ships of differing classes, Holland America Line administers a survey asking passengers rate their overall satisfaction with the spa services on a scale from 1 to 100, with 100 representing the highest level of satisfaction. Data are or the SPA tab. The ships are the MS Koningsdam (Pinnacle-class), MS Nieuw Amsterdam (Signature-class), and the MS Westerdam (Vista-clan., What is the appropriate statistical test for these data? ONE WAY ANOVA Using the Applied Test 2 Data spreadsheet on the SPA tab, run the test. Set your alpha level to .U7 for both omnibus and post hoc tests Complete this table (2 decimals) \table[[Source of Variation,\table[[Sum of],[Squares]]],[Treatment,],[Error,],[Total,]] Descriptive Statistics (2 decimals) \table[[Groups,Count,Mean],[Koningsdam,,Variance],[Amsterdam,17.13,],[Westerdam,27.03,]]Spa Satisfaction 5. Spa services, such as massages, facials, and wellness therapies, contribute to passenger relaxation and overall cruise enjoyment. To evaluate the quality of the spa services across three ships of differing classes, Holland America Line administers a survey asking passengers to rate their overall satisfaction with the spa services on a scale from 1 to 100 , with 100 representing the highest level of satisfaction. Data are on. the SPA tab. The ships are the MS Koningsdam (Pinnacle-class), MS Nieuw Amsterdam (Signature-class), and the MS Westerdam (Vista-class). What is the appropriate statistical test for these data? ONE WAY ANOVA Using the Applied Test 2 Data spreadsheet on the SPA tab, run the test. Set your alpha level to . 01 for both omnibus and post hoc tests Complete this table (2 decimals) \table[[,Sum of,Degrees of,Mean,,],[Source of Variation,Squares,Freedom,Square,F,p-value]] Treatment

.000001 Error Total

Descriptive Statistics (2 decimals) \table[[Groups,Count,Mean],[Koningsdam,,Variance],[Amsterdam,,17.13],[Westerdam,,27.03]]Descriptive Statistics (2 decimals) \table[[Groups,Count,Mean],[Koningsdam,,Variance],[Amsterdam,,27.13],[Westerdam,23.96,]] Fisher's Least Significant Difference Post Hoc \table[[,Differences,Fisher LSD],[Koningsdam vs. Amsterdam,Results (sig. v. ns),],[Koningsdam vs. Westerdam,,],[Nieuw Amsterdam vs. Westerdam,,]] Critical value (2 decimals):

q,

Omega-squared (3 dedimals): Conclusions. Based on the findings, what can you conclude about which Fisher's Least Significant Difference Post Hoc \table[[,Differences,Fisher LSD,Results (sig. v. ns)],[Koningsdam vs. Amsterdam,,,],[Koningsdam vs. Westerdam,,,],[Nieuw Amsterdam vs. Westerdam,,,]] Critical value (2 decimals): Omega-squared ( 3 decimals): Conclusions. Based on the findings, what can you conclude about which ships were statistically significantly different in their satisfaction ratings? \table[[1,Koningsdam,Amsterdam,Westerdam],[2,88,86,85],[3,84,84,90],[4,85,80,77],[5,95,96,82],[6,83,90,86],[7,93,79,71],[8,91,86,81],[9,82,83,80],[10,86,86,85],[11,87,75,80],[12,87,99,83],[13,88,94,78],[14,88,81,88],[15,91,84,83],[16,88,87,86],[17,93,86,85],[18,88,81,86],[19,79,93,82],[20,86,87,79],[21,88,81,91],[22,92,78,79],[23,90,82,82],[24,79,84,82],[25,87,79,92]] \table[[26,87,85,80],[27,82,88,90],[28,88,83,85],[29,88,95,84],[30,89,86,85],[31,94,75,70],[32,87,80,81],[33,91,90,76],[34,87,77,84],[35,81,80,81],[36,84,81,84],[37,87,87,88],[38,84,85,82],[39,96,86,81],[40,93,85,78],[41,89,88,80],[42,81,85,73],[43,89,83,80],[44,85,78,90],[45,93,90,88],[46,89,80,83],[47,92,80,85],[48,95,85,87],[49,86,87,87],[50,,82,86],[51,,86,73],[52,,,85],[53,,,79]]ships were statistically significantly different in their satisfaction ratings? 10:15 C \table[[26,87,85,80],[27,82,88,90],[28,88,83,85],[29,88,95,84],[30,89,86,85],[31,94,75,70],[32,87,80,81],[33,91,90,76],[34,87,77,84],[35,81,80,81],[36,84,81,84],[37,87,87,88],[38,84,85,82],[39,96,86,81],[40,93,85,78],[41,89,88,80],[42,81,85,73],[43,89,83,80],[44,85,78,90],[45,93,90,88],[46,89,80,83],[47,92,80,85],[48,95,85,87],[49,86,87,87],[50,,82,86],[51,,86,73],[52,,,85],[53,,,79]]

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