Procedure: Matrix Statistics

Matrix Statistics

Descriptive Statistics

Subsample selected by: Period = 1
Valid Number of Cases: 8, 8 Omitted

	AVG	STD	SER	VAR	SUM	SSQ	MIN	MAX
AUC	205.6250	58.8386	20.8026	3461.9821	1645.0000	362487.0000	133.0000	294.0000
Sequence = AB	0.5000	0.5345	0.1890	0.2857	4.0000	4.0000	0.0000	1.0000
Treatment = A	0.5000	0.5345	0.1890	0.2857	4.0000	4.0000	0.0000	1.0000
Sequence × Treatment = AB × A	0.5000	0.5345	0.1890	0.2857	4.0000	4.0000	0.0000	1.0000

Correlation Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	1.0000	0.5292	0.5292	0.5292
Sequence = AB	0.5292	1.0000	1.0000	1.0000
Treatment = A	0.5292	1.0000	1.0000	1.0000
Sequence × Treatment = AB × A	0.5292	1.0000	1.0000	1.0000

Covariance Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	3461.9821	16.6429	16.6429	16.6429
Sequence = AB	16.6429	0.2857	0.2857	0.2857
Treatment = A	16.6429	0.2857	0.2857	0.2857
Sequence × Treatment = AB × A	16.6429	0.2857	0.2857	0.2857

Moment Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	45310.8750	117.3750	117.3750	117.3750
Sequence = AB	117.3750	0.5000	0.5000	0.5000
Treatment = A	117.3750	0.5000	0.5000	0.5000
Sequence × Treatment = AB × A	117.3750	0.5000	0.5000	0.5000

Data Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
1	290.0000	1.0000	1.0000	1.0000
	*	*	*	*
3	163.0000	0.0000	0.0000	0.0000
	*	*	*	*
5	187.0000	1.0000	1.0000	1.0000
	*	*	*	*
7	168.0000	1.0000	1.0000	1.0000
	*	*	*	*
9	220.0000	0.0000	0.0000	0.0000
	*	*	*	*
11	133.0000	0.0000	0.0000	0.0000
	*	*	*	*
13	294.0000	1.0000	1.0000	1.0000
	*	*	*	*
15	190.0000	0.0000	0.0000	0.0000
	*	*	*	*

Descriptive Statistics

Subsample selected by: Period = 2
Valid Number of Cases: 8, 8 Omitted

	AVG	STD	SER	VAR	SUM	SSQ	MIN	MAX
AUC	149.0000	50.8331	17.9722	2584.0000	1192.0000	195696.0000	77.0000	210.0000
Sequence = AB	0.5000	0.5345	0.1890	0.2857	4.0000	4.0000	0.0000	1.0000
Treatment = A	0.5000	0.5345	0.1890	0.2857	4.0000	4.0000	0.0000	1.0000
Sequence × Treatment = AB × A	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000

Correlation Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	1.0000	-0.2787	0.2787	*
Sequence = AB	-0.2787	1.0000	-1.0000	*
Treatment = A	0.2787	-1.0000	1.0000	*
Sequence × Treatment = AB × A	*	*	*	1.0000

Covariance Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	2584.0000	-7.5714	7.5714	0.0000
Sequence = AB	-7.5714	0.2857	-0.2857	0.0000
Treatment = A	7.5714	-0.2857	0.2857	0.0000
Sequence × Treatment = AB × A	0.0000	0.0000	0.0000	0.0000

Moment Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
AUC	24462.0000	67.8750	81.1250	0.0000
Sequence = AB	67.8750	0.5000	0.0000	0.0000
Treatment = A	81.1250	0.0000	0.5000	0.0000
Sequence × Treatment = AB × A	0.0000	0.0000	0.0000	0.0000

Data Matrix

	AUC	Sequence = AB	Treatment = A	Sequence × Treatment = AB × A
	*	*	*	*
2	210.0000	1.0000	0.0000	0.0000
	*	*	*	*
4	201.0000	0.0000	1.0000	0.0000
	*	*	*	*
6	116.0000	1.0000	0.0000	0.0000
	*	*	*	*
8	77.0000	1.0000	0.0000	0.0000
	*	*	*	*
10	200.0000	0.0000	1.0000	0.0000
	*	*	*	*
12	151.0000	0.0000	1.0000	0.0000
	*	*	*	*
14	140.0000	1.0000	0.0000	0.0000
	*	*	*	*
16	97.0000	0.0000	1.0000	0.0000