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This model was also considered to investigate if Surfers level of Satisfaction is different than non Surfers':

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r2 was computed and Ho: R2=0 was tested with a p-value=0.10.

The F test statistic value is 

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This first model was considered to investigate if Satisfaction is Happiness dependent:

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The coefficient of correlation between Satisfaction and Happiness was computed and found to be 0.411.

Regarding Ho: R2=0, the F test statistic is 

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The expected frequency (if Ho is true) of Female Surfers is 

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Modify the observed frequency table considering only

- 2 non surfers (1 non female and 1 female) and

- only 1 surfer, a female.

so a total of 3 students.

What would your conclusions be, with α=0.05 ?

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The same Contingency Analysis was run considering only the students with a GPA >2 (so a smaller sample).

The test statistic value (Q) was computed and the corresponding p-value was found to be 0.782.

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the p-value is
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A smaller sample was considered and we ran this

Based on the information given above, with α=0.05, what would your main conclusion be ?

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The original sample (described in the beginning of the Exam)  was split among the Female categories and these descriptives computed:

and an ANOVA was run to find out if Satisfaction is Gender dependent.

Ho is

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Consider the previous ANOVA (Question 9), that was run with factors Female and Surfer.

A new factor, with a sum of squares equal to 40 and 4 different categories, was added.

What is the F test statistic value for Female ?

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The previous ANOVA (described in Question 7) was re run using both factors: Female and Surfer.

How many degrees of freedom were assigned to the Residuals sum of squares ?

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