Statistics 201 Exam 2 Practice Exam Fall 2021 Chapters 07 ...
Statistics exam
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STATISTICS Frequencies Statistics MuscProb N Valid 102 Missing 0 MuscProb Frequency Percent Valid Percent Cumulative Percent Valid 1.00 73 71.6 71.6 71.6 2.00 29 28.4 28.4 100.0 Total 102 100.0 100.0 MuscProb2 Frequency Percent Valid Percent Cumulative Percent Valid 1.00 39 53.4 53.4 53.4 2.00 34 46.4 46.6 100.0 Total 73 100.0 100.0 Statistics REBAscore N Valid 102 Missing 0 IntRebaScore2 Frequency Percent Valid Percent Cumulative Percent Valid 1.00 0 0.0 0.0 0.0 2.00 9 8.8 8.8 8.8
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STATISTICS
Frequencies
Statistics MuscProb
N Valid 102 Missing 0
MuscProb Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 73 71.6 71.6 71.6 2.00 29 28.4 28.4 100.0 Total 102 100.0 100.0
MuscProb2 Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 39 53.4 53.4 53.4 2.00 34 46.4 46.6 100.0 Total 73 100.0 100.0
Statistics REBAscore
N Valid 102 Missing 0
IntRebaScore2 Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 0 0.0 0.0 0.0 2.00 9 8.8 8.8 8.8
3.00 41 40.2 40.2 49.0 4.00 45 44.1 44.1 93.1 5.00 7 6.9 6.9 100
Total 102 100.0 100.0
IntUsia2 Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 57 55.9 55.9 55.9 2.00 45 44.1 44.1 100.0 Total 102 100.0 100.0
JenisKelamin Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 61 59.8 59.8 59.8 2.00 41 40.2 40.2 100.0 Total 102 100.0 100.0
IntMasaKerja Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 61 59.8 59.8 59.8 2.00 41 40.2 40.2 100.0 Total 102 100.0 100.0
IntDurasiKerja Frequency Percent Valid Percent Cumulative
Percent
Valid 1.00 79 77.5 77.5 77.5 2.00 23 22.5 22.5 100.0 Total 102 100.0 100.0
Crosstabs
Crosstab Count MuscProb Total
1.00 2.00
JenisKelamin 1.00 52 9 61 2.00 21 20 41
Total 73 29 102
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square 13.952a 1 .011 Continuity Correctionb 12.330 1 .043 Likelihood Ratio 13.923 1 .011 Fisher's Exact Test .013 .006 Linear-by-Linear Association 13.815 1 .010
N of Valid Cases 102
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 11.66. b. Computed only for a 2x2 table
Mantel-Haenszel Common Odds Ratio Estimate Estimate 3.998 ln(Estimate) 1.705 Std. Error of ln(Estimate) .477 Asymp. Sig. (2-sided) .000
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.159 Upper Bound 14.027
ln(Common Odds Ratio) Lower Bound .769 Upper Bound 2.641
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Crosstab Count MuscProb Total
1.00 2.00
IntREBA2 1.00 21 29 49 2.00 52 0 52
Total 73 29 102
Chi-Square Tests Value df Asymp. Sig. (2-
sided) Pearson Chi-Square 66.580a 1 .000 Likelihood Ratio 76.756 1 .000 Linear-by-Linear Association 54.771 1 .000
N of Valid Cases 102
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 12.58.
Mantel-Haenszel Common Odds Ratio Estimate
Estimate 5.483 ln(Estimate) 2.311 Std. Error of ln(Estimate) .928 Asymp. Sig. (2-sided) .000
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.997 Upper Bound 15.478
ln(Common Odds Ratio) Lower Bound .443 Upper Bound 4.612
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Crosstab Count MuscProb Total
1.00 2.00
IntUsia 1.00 38 7 45 2.00 35 22 57
Total 73 29 102
Chi-Square Tests
Value df Asymp. Sig. (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square 19.543a 1 .008 Continuity Correctionb 18.954 1 .021 Likelihood Ratio 19.316 1 .006 Fisher's Exact Test .010 .005 Linear-by-Linear Association 10.316 1 .002
N of Valid Cases 102
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 10.73. b. Computed only for a 2x2 table
Mantel-Haenszel Common Odds Ratio Estimate Estimate 4.194 ln(Estimate) 1.393 Std. Error of ln(Estimate) .822 Asymp. Sig. (2-sided) .005
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .934 Upper Bound 13.372
ln(Common Odds Ratio) Lower Bound .361 Upper Bound 1.425
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Crosstab Count MuscProb Total
1.00 2.00
IntDurasiKerja 1.00 54 25 79 2.00 19 4 23
Total 73 29 102
Chi-Square Tests Value df Asymp. Sig. (2-
sided) Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square 17.663a 1 .032 Continuity Correctionb 16.912 1 .051
Likelihood Ratio 18.903 1 .033 Fisher's Exact Test .049 .028 Linear-by-Linear Association 14.458 1 .013
N of Valid Cases 102
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 14.21. b. Computed only for a 2x2 table
Mantel-Haenszel Common Odds Ratio Estimate Estimate 1.190 ln(Estimate) .788 Std. Error of ln(Estimate) .142 Asymp. Sig. (2-sided) .012
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound .000 Upper Bound 2.530
ln(Common Odds Ratio) Lower Bound .000 Upper Bound .890
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate.
Crosstab Count MuscProb Total
1.00 2.00
IntMasaKerja 1.00 58 3 61 2.00 15 26 41
Total 73 29 102
Chi-Square Tests Value df Asymp. Sig. (2-
sided) Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square 25.088a 1 .000 Continuity Correctionb 30.268 1 .000 Likelihood Ratio 26.225 1 .000 Fisher's Exact Test .000 .000 Linear-by-Linear Association 18.328 1 .000
N of Valid Cases 102
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 0.28. b. Computed only for a 2x2 table
Mantel-Haenszel Common Odds Ratio Estimate Estimate 4.010 ln(Estimate) 2.740 Std. Error of ln(Estimate) .769 Asymp. Sig. (2-sided) .000
Asymp. 95% Confidence Interval
Common Odds Ratio Lower Bound 1.038 Upper Bound 14.663
ln(Common Odds Ratio) Lower Bound 4.248 Upper Bound 1.232
The Mantel-Haenszel common odds ratio estimate is asymptotically normally distributed under the common odds ratio of 1.000 assumption. So is the natural log of the estimate. Regression
Variables Entered/Removeda Model Variables
Entered Variables Removed
Method
1 REBAscoreb . Enter a. Dependent Variable: MuscProb b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .736a .542 .538 .30822 a. Predictors: (Constant), REBAscore
ANOVAa Model Sum of
Squares df Mean Square F Sig.
1 Regression 11.255 1 11.255 118.480 .000b Residual 9.500 100 .095
Total 20.755 101
a. Dependent Variable: MuscProb b. Predictors: (Constant), REBAscore
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 2.231 .092 24.199 .000 REBAscore -.133 .012 -.736 -10.885 .000
a. Dependent Variable: MuscProb
Variables Entered/Removeda Model Variables
Entered Variables Removed
Method
1 Usiab . Enter a. Dependent Variable: MuscProb b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .494a .180 .096 .43103 a. Predictors: (Constant), Usia
ANOVAa
Model Sum of Squares
df Mean Square F Sig.
1 Regression 2.176 1 2.176 11.712 .001b Residual 18.579 100 .186
Total 20.755 101
a. Dependent Variable: MuscProb b. Predictors: (Constant), Usia
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 1.762 .146 12.067 .000 Usia -.015 .004 -.324 -3.422 .001
a. Dependent Variable: MuscProb
Variables Entered/Removeda Model Variables
Entered Variables Removed
Method
1 JenisKelaminb . Enter a. Dependent Variable: MuscProb b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .370a .137 .128 .42327 a. Predictors: (Constant), JenisKelamin
ANOVAa
Model Sum of Squares
df Mean Square F Sig.
1 Regression 2.839 1 2.839 15.845 .000b Residual 17.916 100 .179
Total 20.755 101
a. Dependent Variable: MuscProb
b. Predictors: (Constant), JenisKelamin
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) .807 .127 6.359 .000 JenisKelamin .340 .085 .370 3.981 .000
a. Dependent Variable: MuscProb
Variables Entered/Removeda Model Variables
Entered Variables Removed
Method
1 DurasiKerjab . Enter a. Dependent Variable: MuscProb b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .132a .018 .008 .45157 a. Predictors: (Constant), DurasiKerja
ANOVAa
Model Sum of Squares
df Mean Square F Sig.
1 Regression .363 1 .363 1.783 .045b Residual 20.391 100 .204
Total 20.755 101
a. Dependent Variable: MuscProb b. Predictors: (Constant), DurasiKerja
Coefficientsa Model Unstandardized Coefficients Standardized
Coefficients t Sig.
B Std. Error Beta
1 (Constant) 1.529 .189 8.104 .000 DurasiKerja -.028 .021 -.132 -1.335 .185
a. Dependent Variable: MuscProb
Variables Entered/Removeda Model Variables
Entered Variables Removed
Method
1 MasaKerjab . Enter a. Dependent Variable: MuscProb b. All requested variables entered.
Model Summary
Model R R Square Adjusted R Square
Std. Error of the Estimate
1 .428a .173 .127 .42348 a. Predictors: (Constant), MasaKerja
ANOVAa Model Sum of
Squares df Mean Square F Sig.
1 Regression 2.821 1 2.821 15.730 .000b Residual 17.934 100 .179
Total 20.755 101
a. Dependent Variable: MuscProb b. Predictors: (Constant), MasaKerja
Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 1.455 .060 24.222 .000 MasaKerja -.030 .008 -.369 -3.966 .000
a. Dependent Variable: MuscProb
