JMP Output

Fit Y by X Group

Oneway Analysis of Log Sal 85 By Dept name

Missing Rows
2Excluded Rows
1

Means and Std Deviations

Level	Number	Mean	Std Dev	Std Err Mean	Lower 95%	Upper 95%
Genetics	21	11.6887	0.337197	0.07358	11.535	11.842
Medicine	79	12.1636	0.246098	0.02769	12.108	12.219
Pediatrics	30	11.7679	0.220606	0.04028	11.686	11.850
Physiology	40	11.3614	0.350418	0.05541	11.249	11.473
Surgery	40	12.6489	0.226857	0.03587	12.576	12.721
biochem / mol bio	50	11.5127	0.264512	0.03741	11.437	11.588

Contingency Analysis of SEX By Dept name

Mosaic Plot

Contingency Table

Dept name By SEX

Count Total % Col % Row %	Female	male
Genetics	11 4.20 10.28 52.38	10 3.82 6.45 47.62	21 8.02
Medicine	30 11.45 28.04 37.97	49 18.70 31.61 62.03	79 30.15
Pediatrics	20 7.63 18.69 66.67	10 3.82 6.45 33.33	30 11.45
Physiology	20 7.63 18.69 50.00	20 7.63 12.90 50.00	40 15.27
Surgery	6 2.29 5.61 14.29	36 13.74 23.23 85.71	42 16.03
biochem / mol bio	20 7.63 18.69 40.00	30 11.45 19.35 60.00	50 19.08
	107 40.84	155 59.16	262

Tests

Source	DF	-LogLike	RSquare (U)
Model	5	12.50236	0.0706
Error	256	164.68032
C. Total	261	177.18268
N	262

Test	ChiSquare	Prob>ChiSq
Likelihood Ratio	25.005	0.0001
Pearson	23.370	0.0003

Oneway Analysis of Log Sal 85 By Clin

Missing Rows
2Excluded Rows
1

Means and Std Deviations

Level	Number	Mean	Std Dev	Std Err Mean	Lower 95%	Upper 95%
0	100	11.5068	0.362619	0.03626	11.435	11.579
1	160	12.1549	0.421457	0.03332	12.089	12.221

Contingency Analysis of SEX By Clin

Mosaic Plot

Contingency Table

Clin By SEX

Count Total % Col % Row %	Female	male
0	47 17.94 43.93 46.08	55 20.99 35.48 53.92	102 38.93
1	60 22.90 56.07 37.50	100 38.17 64.52 62.50	160 61.07
	107 40.84	155 59.16	262

Tests

Source	DF	-LogLike	RSquare (U)
Model	1	0.94560	0.0053
Error	260	176.23708
C. Total	261	177.18268
N	262

Test	ChiSquare	Prob>ChiSq
Likelihood Ratio	1.891	0.1691
Pearson	1.897	0.1684

Fisher's Exact Test	Prob	Alternative Hypothesis
Left	0.9338	Prob(SEX=male) is greater for Clin=0 than 1
Right	0.1060	Prob(SEX=male) is greater for Clin=1 than 0
2-Tail	0.1976	Prob(SEX=male) is different across Clin

Oneway Analysis of Log Sal 85 By Cert

Missing Rows
2Excluded Rows
1

Means and Std Deviations

Level	Number	Mean	Std Dev	Std Err Mean	Lower 95%	Upper 95%
0	72	11.4906	0.379895	0.04477	11.401	11.580
1	188	12.0646	0.460854	0.03361	11.998	12.131

Contingency Analysis of SEX By Cert

Mosaic Plot

Contingency Table

Cert By SEX

Count Total % Col % Row %	Female	male
0	36 13.74 33.64 50.00	36 13.74 23.23 50.00	72 27.48
1	71 27.10 66.36 37.37	119 45.42 76.77 62.63	190 72.52
	107 40.84	155 59.16	262

Tests

Source	DF	-LogLike	RSquare (U)
Model	1	1.70748	0.0096
Error	260	175.47520
C. Total	261	177.18268
N	262

Test	ChiSquare	Prob>ChiSq
Likelihood Ratio	3.415	0.0646
Pearson	3.448	0.0633

Fisher's Exact Test	Prob	Alternative Hypothesis
Left	0.9767	Prob(SEX=male) is greater for Cert=0 than 1
Right	0.0435	Prob(SEX=male) is greater for Cert=1 than 0
2-Tail	0.0686	Prob(SEX=male) is different across Cert

Bivariate Fit of Log Sal 85 By Prate

Logistic Fit of SEX By Prate

Whole Model Test

Model	-LogLikelihood	DF	ChiSquare	Prob>ChiSq
Difference	10.65154	1	21.30307	<.0001
Full	166.53114
Reduced	177.18268


RSquare (U)	0.0601
Observations (or Sum Wgts)	262

Converged by Gradient

Parameter Estimates

Term		Estimate	Std Error	ChiSquare	Prob>ChiSq
Intercept		0.88005657	0.3053628	8.31	0.0040
Prate		-0.3081398	0.0702468	19.24	<.0001

For log odds of Female/male

Bivariate Fit of Log Sal 85 By Exper

Polynomial Fit Degree=2

Log Sal 85 = 11.59792 + 0.0328115 Exper - 0.0007522 (Exper-10.2595)^2

Summary of Fit


RSquare	0.112622
RSquare Adj	0.105717
Root Mean Square Error	0.481392
Mean of Response	11.90565
Observations (or Sum Wgts)	260

Analysis of Variance

Source	DF	Sum of Squares	Mean Square	F Ratio
Model	2	7.558677	3.77934	16.3087
Error	257	59.556629	0.23174	Prob > F
C. Total	259	67.115306		<.0001

Parameter Estimates

Term	Estimate	Std Error	t Ratio	Prob>\|t\|
Intercept	11.59792	0.062198	186.47	<.0001
Exper	0.0328115	0.006284	5.22	<.0001
(Exper-10.2595)^2	-0.000752	0.000474	-1.59	0.1135

Logistic Fit of SEX By Exper

Whole Model Test

Model	-LogLikelihood	DF	ChiSquare	Prob>ChiSq
Difference	21.84753	1	43.69505	<.0001
Full	155.33516
Reduced	177.18268


RSquare (U)	0.1233
Observations (or Sum Wgts)	262

Converged by Gradient

Parameter Estimates

Term		Estimate	Std Error	ChiSquare	Prob>ChiSq
Intercept		1.2862054	0.3080403	17.43	<.0001
Exper		-0.1755759	0.03166	30.75	<.0001

For log odds of Female/male