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The coefficient of correlation, computed with the same sample (n=40), between Pleasure and Frustration, is -0.39.
Is this model
significant with α=0.05 ?
If instead of the 39 students only 37 would have answered, with this distribution
The number of students that would react with a "Not really" and a blended method preference if both variables would be independent is approximately
A Contingency Analysis was run with this sample
The test statistic was computed (8.9) and α=0.05.
This ANOVA was run
with an additional factor: Gender (Female and Male).
With α=0.10 what would your conclusion be ?
The sums of squares were computed
The test statistic (F) is
An ANOVA with 2 factors (each one with 2 levels) was run with a sample of size 44, in order to explain the level of Understanding.
The Country of Origin (Portugal and Germany) was added as a third factor.
In this ANOVA (with the 3 factors) the Mean Sum of Squares of the Error is equal to 409 and the p-value for Country of Origin is 0.10.
Find out the Sum of Squares of the Country of Origin.
How would you describe H1 ?
An ANOVA with only one factor was run in order to find out if the level of Understanding is not the same for the 2 Genders (Male and Female).
This was done with a sample of size 17. The Sum of Squares of Gender was computed (83.2) and the p-value=0.659.
In order to have a p-value<0.05 for Gender, what would be a valid ratio between the Mean Sum of Squares for Gender and the Mean Sum of Squares for the Residuals ?