Construct a research question that can be answered for the Chi-Square Test of Independence.

The p-value and if the test was significant, give Phi and Cramers V and explain the strength of the relationship, and describe the percentages or counts. The output will be the crosstabulation table, the Chi-Square Tests table, and the Symmetric Measures table.

GENDER * REPEAT Crosstabulation REPEAT no yes Total GENDER male Count 100 16 116 % within GENDER 86.2% 13.8% 100.0% % within REPEAT 51.0% 80.0% 53.7% % of Total 46.3% 7.4% 53.7% female Count 96 100 % within GENDER 96.0% 4.0% 100.0% % within REPEAT 49.0% 20.0% 46.3% % of Total 44.4% 1.9% 46.3% Total Count 196 20 216 % within GENDER 90.7% 9.3% 100.0% % within REPEAT 100.0% 100.0% 100.0% % of Total 90.7% 9.3% 100.0% Chi-Square Tests Asymptotic Significance Exact Sig. (2- Exact Sig. (1- Value df (2-sided) sided) sided) Pearson Chi-Square 6.130 013 Continuity Correction 5.020 - .025 Likelihood Ratio 6.605 010 Fisher's Exact Test 017 011 Linear-by-Linear 6.102 1 .014 Association N of Valid Cases 216 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 9.26. b. Computed only for a 2x2 tableSymmetric Measures Approximate Value Significance Nominal by Nominal Phi -.168 013 Cramer's V 168 013 N of Valid Cases 216