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29. A researcher wanted to test the claim that there are significant differences in pain threshold of people with different hair colors (Light Blond, Dark Blond, Light Brunette, and Dark Brunette). Independent samples were taken with these four different hair colors and their pain thresholds were assessed. Determine the appropriate decision and conclusion based on the JASP results and using 1% level of significance. Is there a need to perform post-hoc test? (Refer on your answer in no. 28 for the appropriate test to use) * (Refer to the image for the JASP output) ANOVA - Pain Tolerance Cases Sum of Squares df Mean Square F Hair Color 1360.726 3 453.575 6.791 0.004 Residuals 1001.800 15 66.787 Kruskal-Wallis Test Factor Statistic df Hair Color 10.589 0.014 Since the p-value for ANOVA is less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be per formed Since the p-value for Kruskal-Wallis tests less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be performed. It can be concluded that pain thresholds do not differ among people with different O hair color since the p-value for ANOVA is less than 1% level of significance. Post-hoc test is not needed It can be concluded that pain thresholds do not differ among people with different hair color since the p-value for Kruskal-Wallis testis less than 1% level of significance. Post-hoc test is not needed.

29. A researcher wanted to test the claim that there are significant differences in pain threshold of people with different hair colors (Light Blond, Dark Blond, Light Brunette, and Dark Brunette). Independent samples were taken with these four different hair colors and their pain thresholds were assessed. Determine the appropriate decision and conclusion based on the JASP results and using 1% level of significance. Is there a need to perform post-hoc test? (Refer on your answer in no. 28 for the appropriate test to use) * (Refer to the image for the JASP output) ANOVA - Pain Tolerance Cases Sum of Squares df Mean Square F Hair Color 1360.726 3 453.575 6.791 0.004 Residuals 1001.800 15 66.787 Kruskal-Wallis Test Factor Statistic df Hair Color 10.589 0.014 Since the p-value for ANOVA is less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be per formed Since the p-value for Kruskal-Wallis tests less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be performed. It can be concluded that pain thresholds do not differ among people with different O hair color since the p-value for ANOVA is less than 1% level of significance. Post-hoc test is not needed It can be concluded that pain thresholds do not differ among people with different hair color since the p-value for Kruskal-Wallis testis less than 1% level of significance. Post-hoc test is not needed.

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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29. A researcher wanted to test the claim that there are significant differences in pain threshold of people with different hair colors (Light Blond, Dark Blond, Light Brunette, and Dark Brunette). Independent samples were taken with these four different hair colors and their pain thresholds were assessed. Determine the appropriate decision and conclusion based on the JASP results and using 1% level of significance. Is there a need to perform post-hoc test? (Refer on your answer in no. 28 for the appropriate test to use) * (Refer to the image for the JASP output) ANOVA - Pain Tolerance Cases Sum of Squares df Mean Square p Hair Color 1360.726 3 453.575 6.791 0.004 Residuals 1001.800 15 66.787 Kruskal-Wallis Test Factor Statistic df Hair Color 10.589 3. 0.014 Since the p-value for ANOVA is less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- học test should be performed Since the p-value for Kruskal-Wallis tests less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be performed. It can be concluded that pain thresholds do not differ among people with different hair color since the p-value for ANOVA is less than 1% level of significance. Post-hoc test is not needed it can be concluded that pain thresholds do not differ among people with different O hair color since the p-value for Kruskal-Wallis test is less than 1% level of significance. Post-hoc testis not needed.
Transcribed Image Text:29. A researcher wanted to test the claim that there are significant differences in pain threshold of people with different hair colors (Light Blond, Dark Blond, Light Brunette, and Dark Brunette). Independent samples were taken with these four different hair colors and their pain thresholds were assessed. Determine the appropriate decision and conclusion based on the JASP results and using 1% level of significance. Is there a need to perform post-hoc test? (Refer on your answer in no. 28 for the appropriate test to use) * (Refer to the image for the JASP output) ANOVA - Pain Tolerance Cases Sum of Squares df Mean Square p Hair Color 1360.726 3 453.575 6.791 0.004 Residuals 1001.800 15 66.787 Kruskal-Wallis Test Factor Statistic df Hair Color 10.589 3. 0.014 Since the p-value for ANOVA is less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- học test should be performed Since the p-value for Kruskal-Wallis tests less than 1% level of significance, it can be concluded that pain thresholds differ among people with different hair color. Post- hoc test should be performed. It can be concluded that pain thresholds do not differ among people with different hair color since the p-value for ANOVA is less than 1% level of significance. Post-hoc test is not needed it can be concluded that pain thresholds do not differ among people with different O hair color since the p-value for Kruskal-Wallis test is less than 1% level of significance. Post-hoc testis not needed.
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