If we assume the variability of each group is the same, having equal numbers in each group is best. That's why the want you to make groups equal sized. If one group has a much larger variability than the other, then giving more samples to the group with the larger variability is appropriate. (For future reference)
For your sizes, I'd think there is an issue because you have so few samples in one group. Suppose you have Test Score =f (gender, test type). With your data, you might only have 2 girls with test A and 3 girls with test B. If the girls really are indicative of the larger groups, then your ANOVA is fine. If you had say, 400 boys and 100 girls, I wouldn't have an issue. But just five seems a bit too low for me.
Perhaps a 1way ANOVA with 3 groups, boys test A, boys test B, Girls, will work.
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Andrew Ekstrom
Original Message:
Sent: 02-19-2016 21:45
From: Kelly Fitzpatrick
Subject: Two Way ANOVA
Hi,
I am a beginner at using the two way ANOVA test and have a question.
Most of the information I have read and videos I have watched always have the groups with equal sample size.
Lets say 20 Girls and 20 Boys vs some other factors (age or test scores). What if the data is broken down as lets say 35 Boys and 5 Girls, would the two way ANOVA be the
appropriate test to conduct? If not could you recommend a different test.
Thank you for your time.
Kelly Fitzpatrick