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A researcher investigated the association between fundamentalism and views on teaching sex education in public schools. The research results is presented in table 1 and 2 below.

A researcher investigated the association between fundamentalism and views on teaching sex education in public schools. The research results is presented in table 1 and 2 below.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 13PT
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A researcher investigated the association between fundamentalism and views on teaching sex education in public schools. The research results is presented in table 1 and 2 below. Table la: Sex Education in Public Schools HOW FUNDAMENT ALIST IS R CURRENTLY FUNDAME NT ALIST MODERATE LIBERAL 1165 Total SEX EDUCATION IN FAVOR PUBLIC SCHOOLS Count 892 954 3011 % within HOW FUNDAMENT ALIST IS R CURRENTLY 82.8% 88.7 % 93.5% 88.3% OPPOSE Count 185 149 66 400 % within HOW FUNDAMENT ALIST IS R CURRENTLY 17.2% 11.3% 6.5% 11.7% Total Count 1077 1314 1020 3411 % within HOW FUNDAMENT ALIST IS R CURRENTLY 100.0% 100.0% 100.0% 100.0% Source: Author’s Compilation, (2021). Table 1b: Sex Education in Public Schools Asymp. Sig. (2- Value d Pearson Chi-Square 58.323 a 2 .000 Likelihood Ratio 59.593 2 .000 Linear-by-Linear 58.123 1 .000 Association N of Valid Cases 3411 a. O cells (.0%) have expected count less than 5. The minimum expected count is 119.61. A. Interpret the Chi square (X²) results in tables la and 1b.
Transcribed Image Text:A researcher investigated the association between fundamentalism and views on teaching sex education in public schools. The research results is presented in table 1 and 2 below. Table la: Sex Education in Public Schools HOW FUNDAMENT ALIST IS R CURRENTLY FUNDAME NT ALIST MODERATE LIBERAL 1165 Total SEX EDUCATION IN FAVOR PUBLIC SCHOOLS Count 892 954 3011 % within HOW FUNDAMENT ALIST IS R CURRENTLY 82.8% 88.7 % 93.5% 88.3% OPPOSE Count 185 149 66 400 % within HOW FUNDAMENT ALIST IS R CURRENTLY 17.2% 11.3% 6.5% 11.7% Total Count 1077 1314 1020 3411 % within HOW FUNDAMENT ALIST IS R CURRENTLY 100.0% 100.0% 100.0% 100.0% Source: Author’s Compilation, (2021). Table 1b: Sex Education in Public Schools Asymp. Sig. (2- Value d Pearson Chi-Square 58.323 a 2 .000 Likelihood Ratio 59.593 2 .000 Linear-by-Linear 58.123 1 .000 Association N of Valid Cases 3411 a. O cells (.0%) have expected count less than 5. The minimum expected count is 119.61. A. Interpret the Chi square (X²) results in tables la and 1b.
Table 1: Regression Output. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA MS 1 1,352,635.29 1,352,635.29 21,960.40 Significance F 61.59 df SS Regression Residual Total 0.00 14 307 445.65 15 1,660,080.94 Upper 95% Coefficients Standard Enor 437.8799 t Stat 5.3175 7.8482 P-value 0.0001 0.0000 Lower 95% 261.2617 Lower 95.0% Upper 95.0% 261.2617 12.3141 82.3477 Intercept $TV ads 614.4981 614.4981 21.5756 16.9448 2.1591 12.3141 21.5756 Source: Author's Compilation, (2021). A. Interpret the following from the table 1: Regression Output: Multiple R, R Square, Adjusted R Square, F, Significance F. B. Interpret the Standard Error, T-static and P-values. C. Generate the regression equation.
Transcribed Image Text:Table 1: Regression Output. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sq Standard Error Observations 0.9027 0.8148 0.8016 148.1904 16 ANOVA MS 1 1,352,635.29 1,352,635.29 21,960.40 Significance F 61.59 df SS Regression Residual Total 0.00 14 307 445.65 15 1,660,080.94 Upper 95% Coefficients Standard Enor 437.8799 t Stat 5.3175 7.8482 P-value 0.0001 0.0000 Lower 95% 261.2617 Lower 95.0% Upper 95.0% 261.2617 12.3141 82.3477 Intercept $TV ads 614.4981 614.4981 21.5756 16.9448 2.1591 12.3141 21.5756 Source: Author's Compilation, (2021). A. Interpret the following from the table 1: Regression Output: Multiple R, R Square, Adjusted R Square, F, Significance F. B. Interpret the Standard Error, T-static and P-values. C. Generate the regression equation.
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