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2434-Statistics II-2526_T4

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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 ?

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If instead of the 39 students only 37 would have answered, with this distribution

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The number of students that would react with a "Not really" and a blended method preference if both variables would be independent is approximately

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A Contingency Analysis was run with this sample 

The test statistic was computed (8.9) and α=0.05.

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In this sample 24 out of the 39 students prefer the blended method.

What would you do in order to investigate if the proportion of students that prefer the blended method is smaller than 0.7 ?

I would

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This ANOVA was run

with an additional factor: Gender (Female and Male).

With α=0.10 what would your conclusion be ?

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The sums of squares were computed

The test statistic (F) is 

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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.

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How would you describe H1 ?

0%
0%
0%
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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 ?

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