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GSS 2018 respondents were asked their views on teens (between the ages of 14 and 16) engaging in sex before marriage (TEENSEX). Responses are
GSS 2018 respondents were asked their views on teens (between the ages of 14 and 16) engaging in sex before marriage (TEENSEX). Responses are cross-tabulated by educational attainment (DEGREE). a. What percentage of those surveyed felt teen sex was always wrong? b. What percentage of those with less than a high school diploma felt teen sex was always wrong? c. What percentage of those with a graduate degree felt teen sex was always wrong? d. Interpret the gamma statistic. e. Using chi-square, test the null hypothesis that DEGREE and TEENSEX are statistically independent. Set alpha at .05. Sex before marriage -- teens 14-16 - Rs highest degree Crosstabulation Rs highest degree High school Junior Lt high school college Bachelor Graduate Total Count 78 305 47 95 54 579 Sex before marriage -- teens 14-16 Always wrong 65.5% 59.8% 58.8% 53.1% 49.1% 58.0% % within Rs highest degree (Continued) (Continued) Rs highest degree Junior Graduate High school Lt high school Bachelor Total college 36 27 18 181 81 19 Almst Count 20.1% 24.5% always wrg 15.9% 22.5% 18.1% 16.0% % within Rs highest degree 30 20 149 77 Sometimes Count 16 16.8% 18.2% 14.9% 7.5% wrong 13.4% 15.1% % within Rs highest degree 18 89 47 Not wrong Count 9. at all 10.1% 8.2% 8.9% 9.2% 11.3% 5.0% % within Rs highest degree 80 179 110 998 Total Count 119 510 100.0% 100.0% 100.0% 100.0% 100.0% % within Rs highest degree 100.0% Chi-Square Tests Asymptotic Significance (2-sided) Value df Pearson Chi-Square 16.364 12 175 Likelihood Ratio 17.110 12 146 Linear-by-Linear Association 4.747 .029 Nof Valld Cases 998 a.O cells (0.0%) have expected count less than 5. The minimum expected count is 7.13. Symmetric Measures Asymptotic Standard Error Value Approximate T Approximate Significance Ordinal by Ordinal Gamma .110 .041 N of Valid Cases 2.643 .008 998 a Not assuming the null hypothesis. o Using the asymptotic standard error assuming the null hypothesis,
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