t-test

About

Used to show whether two sets of data are from the same or a different population.

Requires

Y variables and X variables to be compared. Matched Y and X variables are allowed, see below.

Feature

Two separate variables can be compared with one or more main filters selected if desired (as with other tests).

To compare two groups of observations within the same variable, first set the X variables and Y variables to the same Column(s), then use the X filter and Y filter to select the desired observations.

Parameters

t-Test dialog

Variables

Select one or more Y variables and one or more X variables (See Selecting variables for details). Output will be produced for each pair of Y and X variables, dependant on the block mode selected.

Block Mode

Defines how the Y variables and X variables are compared. (See Performing multiple analyses for details)

Options

Y filter

Allows a filter to be specified that will select rows for the Y variable.

X filter

Allows a filter to be specified that will select rows for the X variable.

Subtitle

Allows you to specify an optional subtitle which will be included in the statistical output.

Buttons

?

Opens the help system for this dialog.

Dataset…

Sends the output from this analysis to a new OxonStat Dataset. See Dataset output for more details.

Print…

Sends the output from this analysis to a printer.

Cancel

Cancels the analysis and closes the dialog.

Screen…

Displays the output from this analysis in the Results window.

Example t-Test Output

OxonStat

20:36, 12 Aug 2023

Compare:	Weight_1 and Weight_1
Subtitle:	<none>
Statistic:	t-Test
Dataset:	OxonStat Demo
Range:	Row 1 [Green] to Row 38 [Hall]
Filter:	<no filter>

Variable	Weight_1	Weight_1
Last Filter	Gender : = Male	Gender : = Female
	Gender = 1	Gender = 2
Count	28 of 28	10 of 10
Mean	81.1071	84.0600
SD	15.9637	33.5087
SEM	3.0169	10.5964

F Test: F	df	p
4.406	27, 9	0.0013

	t	df	p
Assuming Equal Variance	0.3690	36	0.7143
Assuming Unequal Variance	0.2680	10	0.7941

OxonStat

20:36, 12 Aug 2023

Compare:	Weight_1 and Height
Subtitle:	<none>
Statistic:	t-Test
Dataset:	OxonStat Demo
Range:	Row 1 [Green] to Row 38 [Hall]
Filter:	<no filter>

Variable	Weight_1	Height
Last Filter	Gender : = Male	Gender : = Female
	Gender = 1	Gender = 2
Count	28 of 28	10 of 10
Mean	81.1071	160.2200
SD	15.9637	4.8483
SEM	3.0169	1.5332

F Test: F	df	p
10.841	9, 27	0.0004

	t	df	p
Assuming Equal Variance	15.3001	36	<0.0001
Assuming Unequal Variance	23.3779	35	<0.0001

OxonStat

20:36, 12 Aug 2023

Compare:	Height and Weight_1
Subtitle:	<none>
Statistic:	t-Test
Dataset:	OxonStat Demo
Range:	Row 1 [Green] to Row 38 [Hall]
Filter:	<no filter>

Variable	Height	Weight_1
Last Filter	Gender : = Male	Gender : = Female
	Gender = 1	Gender = 2
Count	28 of 28	10 of 10
Mean	173.0536	84.0600
SD	7.7655	33.5087
SEM	1.4675	10.5964

F Test: F	df	p
18.620	27, 9	<0.0001

	t	df	p
Assuming Equal Variance	13.3807	36	<0.0001
Assuming Unequal Variance	8.3191	9	<0.0001

OxonStat

20:36, 12 Aug 2023

Compare:	Height and Height
Subtitle:	<none>
Statistic:	t-Test
Dataset:	OxonStat Demo
Range:	Row 1 [Green] to Row 38 [Hall]
Filter:	<no filter>

Variable	Height	Height
Last Filter	Gender : = Male	Gender : = Female
	Gender = 1	Gender = 2
Count	28 of 28	10 of 10
Mean	173.0536	160.2200
SD	7.7655	4.8483
SEM	1.4675	1.5332

F Test: F	df	p
2.565	9, 27	0.0705

	t	df	p
Assuming Equal Variance	4.8731	36	<0.0001
Assuming Unequal Variance	6.0469	25	<0.0001

t-test

About

Requires

Feature

Parameters

Variables

Block Mode

Options

Y filter

X filter

Subtitle

Filters

Buttons

?

Dataset…

Print…

Cancel

Screen…

Example t-Test Output