Logistic Fit of SEX By Exper



Whole Model Test

Model-LogLikelihoodDFChiSquareProb>ChiSq
Difference21.84753143.69505<.0001
Full155.33516
Reduced177.18268

RSquare (U)0.1233
Observations (or Sum Wgts)262
Converged by Gradient

Parameter Estimates

Term EstimateStd ErrorChiSquareProb>ChiSq
Intercept1.28620540.308040317.43<.0001
Exper-0.17557590.0316630.75<.0001
For log odds of Female/male

Contingency Analysis of SEX By Dept name

Mosaic Plot



Contingency Table

Dept name By SEX
Count
Total %
Col %
Row % 		Femalemale
Genetics11
4.20
10.28
52.38 		10
3.82
6.45
47.62 		21
8.02
Medicine30
11.45
28.04
37.97 		49
18.70
31.61
62.03 		79
30.15
Pediatrics20
7.63
18.69
66.67 		10
3.82
6.45
33.33 		30
11.45
Physiology20
7.63
18.69
50.00 		20
7.63
12.90
50.00 		40
15.27
Surgery6
2.29
5.61
14.29 		36
13.74
23.23
85.71 		42
16.03
biochem / mol bio20
7.63
18.69
40.00 		30
11.45
19.35
60.00 		50
19.08
107
40.84 		155
59.16 		262

Tests

SourceDF-LogLikeRSquare (U)
Model512.502360.0706
Error256164.68032
C. Total261177.18268
N262

TestChiSquareProb>ChiSq
Likelihood Ratio25.0050.0001
Pearson23.3700.0003

Contingency Analysis of SEX By Clin

Mosaic Plot



Contingency Table

Clin By SEX
Count
Total %
Col %
Row % 		Femalemale
047
17.94
43.93
46.08 		55
20.99
35.48
53.92 		102
38.93
160
22.90
56.07
37.50 		100
38.17
64.52
62.50 		160
61.07
107
40.84 		155
59.16 		262

Tests

SourceDF-LogLikeRSquare (U)
Model10.945600.0053
Error260176.23708
C. Total261177.18268
N262

TestChiSquareProb>ChiSq
Likelihood Ratio1.8910.1691
Pearson1.8970.1684
Fisher's Exact TestProbAlternative Hypothesis
Left0.9338Prob(SEX=male) is greater for Clin=0 than 1
Right0.1060Prob(SEX=male) is greater for Clin=1 than 0
2-Tail0.1976Prob(SEX=male) is different across Clin

Contingency Analysis of SEX By Cert

Mosaic Plot



Contingency Table

Cert By SEX
Count
Total %
Col %
Row % 		Femalemale
036
13.74
33.64
50.00 		36
13.74
23.23
50.00 		72
27.48
171
27.10
66.36
37.37 		119
45.42
76.77
62.63 		190
72.52
107
40.84 		155
59.16 		262

Tests

SourceDF-LogLikeRSquare (U)
Model11.707480.0096
Error260175.47520
C. Total261177.18268
N262

TestChiSquareProb>ChiSq
Likelihood Ratio3.4150.0646
Pearson3.4480.0633
Fisher's Exact TestProbAlternative Hypothesis
Left0.9767Prob(SEX=male) is greater for Cert=0 than 1
Right0.0435Prob(SEX=male) is greater for Cert=1 than 0
2-Tail0.0686Prob(SEX=male) is different across Cert

Logistic Fit of SEX By Exper



Whole Model Test

Model-LogLikelihoodDFChiSquareProb>ChiSq
Difference21.84753143.69505<.0001
Full155.33516
Reduced177.18268

RSquare (U)0.1233
Observations (or Sum Wgts)262
Converged by Gradient

Parameter Estimates

Term EstimateStd ErrorChiSquareProb>ChiSq
Intercept1.28620540.308040317.43<.0001
Exper-0.17557590.0316630.75<.0001
For log odds of Female/male

Logistic Fit of SEX By Exper



Whole Model Test

Model-LogLikelihoodDFChiSquareProb>ChiSq
Difference21.84753143.69505<.0001
Full155.33516
Reduced177.18268

RSquare (U)0.1233
Observations (or Sum Wgts)262
Converged by Gradient

Parameter Estimates

Term EstimateStd ErrorChiSquareProb>ChiSq
Intercept1.28620540.308040317.43<.0001
Exper-0.17557590.0316630.75<.0001
For log odds of Female/male

Logistic Fit of SEX By Rank



Whole Model Test

Model-LogLikelihoodDFChiSquareProb>ChiSq
Difference20.20942140.41883<.0001
Full156.97326
Reduced177.18268

RSquare (U)0.1141
Observations (or Sum Wgts)262
Converged by Gradient

Parameter Estimates

Term EstimateStd ErrorChiSquareProb>ChiSq
Intercept1.456067960.32402720.19<.0001
Rank-1.00146280.169067835.09<.0001
For log odds of Female/male