Question: Hello, I need help with these questions for both crosstabs What is your research question? What is your hypothesis or prediction and why? The obtained

 Hello, I need help with these questions for both crosstabsWhat isyour research question? What is your hypothesis or prediction and why?The obtainedresults of the analysis. What is the chi-square value and the significancelevel? Is it statistically significant? What is the effect size as determined

Hello, I need help with these questions for both crosstabs

  • What is your research question? What is your hypothesis or prediction and why?
  • The obtained results of the analysis. What is the chi-square value and the significance level? Is it statistically significant? What is the effect size as determined by Cramer's V or the phi coefficient value?
  • An interpretation of the results.
by Cramer's V or the phi coefficient value?An interpretation of the results.Crosstabs Likes watching Movies ' Gender Likes watching Movies Total Case ProcessingSummary Cases Valid Missing Total N Percent N Percent N Percent 10399.1% 1 0.9% 109 100.0% Likes watching Movies " Gender Crosstabulation Gender

Crosstabs Likes watching Movies ' Gender Likes watching Movies Total Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent 103 99.1% 1 0.9% 109 100.0% Likes watching Movies " Gender Crosstabulation Gender Male Female Total Like Count 20 78 98 Expected Count 18.1 79.9 98.0 %within Likes watching 20.4% 79.6% 100.0% Movies 95 within Gender 100.0% 83.6% 90.7% Dislike Count CI 4 4 Expected Count .7 3.3 4.0 %within Likes watching 0.095 100.095 100.095 Movies 96 within Gender 00% 4.5% 3.7% Don't Care Count 0 6 6 Expected Count 11 4.9 6.0 %within Likes watching 0.0% 100.0% 100.0% Movies 96 within Gender 0.096 6.8% 5.0% Count 20 88 108 Expected Count 20.0 83.0 108.0 %within Likes watching 10.5% 01.5% 100.0% Movies 96 within Gender 100.0% 100.0% 100.0% Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square 2.505 2 286 Likelihood Ratio 4.322 2 .115 Linear-by-Linear 2.249 .134 Association N of Valid Cases 108 a. 4 cells (66.7%) have expected count less than 5. The minimum expected count is .74. Symmetric Measures Approximate Value Significance Nominal by Nominal Phi .152 .286 Cramer's V .152 286 N of Valid Cases 108Crosstabs Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Employed? * Gender 104 95.4% 5 4.6% 109 100.0% Employed? * Gender Crosstabulation Gender Male Female Total Employed? Full-time Count 3 13 16 Expected Count 2.8 13.2 16.0 % within Employed? 18.8% 81.3% 100.0% % within Gender 16.7% 15.1% 15.4% Part-time Count 11 57 68 Expected Count 11.8 56.2 68.0 % within Employed? 16.2% 83.8% 100.0% % within Gender 61.1% 66.3% 65.4% Do not Work Count 4 16 20 Expected Count 3.5 16.5 20.0 % within Employed? 20.0% 80.0% 100.0% % within Gender 22.2% 18.6% 19.2% Total Count 18 86 104 Expected Count 18.0 86.0 104.0 % within Employed? 17.3% 82.7% 100.0% % within Gender 100.0% 100.0% 100.0% Chi-Square Tests Asymptotic Significance Value df (2-sided) Pearson Chi-Square .185 N .911 Likelihood Ratio .182 N 913 Linear-by-Linear 018 892 Association N of Valid Cases 104 a. 2 cells (33.3%) have expected count less than 5. The minimum expected count is 2.77.Symmetric Measures Approximate Value Significance Nominal by Nominal Phi 042 .911 Cramer's V .042 .911 Contingency Coefficient .042 .911 N of Valid Cases 104

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