Question

My interpretation was incorrect. What would the correct interpretation be? Attached is a screenshot from SPSS.

A chi-square test of goodness-of-fit test was performed to determine if there is an equal level of exercise between men and women. Results indicated that the x² (3, N=100) = 6.26, p= .100. There is no significance in level of exercise between men and women. Gender is not dependent on the level of exercise. These results were significant at the p <.05 level.

g SPSS Statistics File Edit View Data Transform Insert Format Analyze Graphs utilities Extensions window Help 99% Ey Fri 6:21 PM Q Chi Square Level of Exercise and Gender (2).spv [Document 1] - IBM SPSS Statistics Viewer Percent Percent Percent output ▼ Level of Exercise GENDER 100 100.0% 100 100.0% 0.0% Crosstabs Title Notes Case Processing Level of Exercise Chi-Square Tests Level of ExerciseGENDER Crosstabulation GENDER Male Female 25 19.0 15 19.0 Total Level of Exercise None Count Expected Count Count Expected Count 13 19.0 23 19.0 38 38.0 3 8 38.0 13 13.0 Light Moderate Count 6.5 6.5 Expected Count Count Expected Count Count Expected Count Heavy 5.5 50 50.0 5.5 50 50.0 11.0 100 100.0 Total Chi-Square Tests Asymptotic cance sided) Value df 100 096 083 Pearson Chi-Square Likelihood Ratio Linear-by-Linear 6.257 6.342 3.015 Association 100 N of Valid Cases a. 0 cells (.0%) have expected count less than 5, The minimum expected count is 5.50 IBM SPSS Statistics Processor is readyUnicode:ON 19

Answer 1

Answer

your interpretation is 90% correct, but you made incorrect conclusion in the end.

A chi-square test of goodness-of-fit test was performed to determine if there is an equal level of exercise between men and women. Results indicated that the x² (3, N=100) = 6.26, p= .100. There is no significant difference in level of exercise between men and women because the p value corresponding to the hypothesis is 0.100, which is greater than the significance level of 0.05. Gender is not dependent on the level of exercise. These results were insignificant at the 0.05 significance level because observed p value (0.100) is more than 0.05 level.