Two-Way ANOVA: 3x3

3x3 Factorial ANOVA: Independent Samples (n per sample up to )
Please wait a moment while the page loads.

The logic and computational details of this test are described
in Chapter 16 of Concepts and Applications.

Data Structure

	B₁	B₂	B₃
A₁	A₁B₁	A₁B₂	A₁B₃
A₂	A₂B₁	A₂B₂	A₂B₃
A₃	A₃B₁	A₃B₂	A₃B₃

As illustrated in the adjacent table, the data structure for this analysis allows for three levels of variable A, laid out in the form of rows (A₁, A₂, A₃), and three levels of variable B, laid out in the form of columns (B₁, B₂, B₃).

Procedure:

In the table that follows, labeled "Data Entry," enter the values of A₁B₁, A₁B₂, etc., into the designated text fields within each group. Pressing the "tab" key after each entry will take you down to the next text field in the group.
After all values have been entered in this fashion, scroll down to the button labeled "Calculate" and click it.
If you wish to perform another analysis with a different set of data: click the "Reset" button if the largest sample in your new set of data does not exceed ; click the "Reload" button if the size of any of the samples in your new set of data is larger than .

Data Entry

	B₁	B₂	B₃
A₁
A₂
A₃

Table of Means: Cells, Rows, Columns, and Total

	B₁	B₂	B₃	Rows
A₁
A₂
A₃

Columns

ANOVA SUMMARY

Source	SS	df	MS	F	P
bg
rows
columns
r x c
wg
Total

bg = between groups; wg = within groups (error)

Printable Report—for Netscape Navigator 3.0 or later and Internet Explorer 4.5 or later. Do not click this button if you are using a version of Internet Explorer earlier than 4.5. [The browser you are now using is .]

Home

Click this link only if you did not arrive here via the VassarStats main page.