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The data set
Tea_Makes_You_Brainy_716.sav includes data on number of cups of tea
per day a subject drinks and their cognitive function on a scale to 20 to
80. (For Q#1 to Q#3) |
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1. |
Recode Cups_of_Tea into a categorical variable with three
levels: 0-1 cups per day, 2-3 cups per day, and 4+ cups per day. Be sure
to update all the relevant data in the variable view. Create a bar plot of
this new variable. |
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2. |
Create side-by-side boxplots which show the distribution of
cognitive function within each of the tea-drinking categories. What are
the average cognitive levels for each of the three categories? Describe
the results of the graphical and numerical analysis. |
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3. |
Run a one-way ANOVA to compare the average cognitive
function across the three levels of tea drinkers. |
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The data set Video_Games.sav
contains data from a study on the relationship between video games and
aggressive attitudes and behavior among 442 youths. In the study, each
youth was asked to estimate how many hours of video games he/she plays per
week and took a questionnaire to assess the aggressiveness of his/her
personality. (For Q#4 to Q#6) |
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4. |
Create a histogram for the number of hours per week the
participants play video games. Describe the shape of the distribution and
give the mean and standard deviation from the sample. |
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5. |
Create a scatter plot to look at the association between
video game playing (x) and aggression (y). Describe the relationship
visually - does it appear linear? Strong? Are there any obvious extreme
outliers? |
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6. |
Run a linear regression to predict aggression form hours
spent gaming. Write out the estimated regression equation. Include R2 in
your answer. How does this fit with your response from (5) |
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The data set
Honeymoon_Period.sav gives life satisfaction data from the beginning
of a marriage (Satisfaction_Base) with similar follow-up measures at 6,
12,, and 18 months for 115 subjects (For Q#7 to Q#10) |
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7. |
Use the appropriate test to compare baseline satisfaction
and satisfaction at 12 month follows up. What is the average change in the
sample? Is there any evidence of a change in average satisfaction? |
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8. |
Run a test to compare male's baseline satisfaction scores
to their scores at the 12-month follow-up. What was the average change?
Was this change statistically significant? |
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9. |
Run a test to compare female's baseline satisfaction scores
to their scores at the 12-month follow-up. What was the average change?
Was this change statistically significant? |
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10. |
Run a regression to predict life satisfaction at 12 months
using baseline satisfaction and gender. Write out the regression equation
and describe the significance of the predictors. |
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