Behavioral Sciences STAT (with CourseMate Printed Access Card) (New, Engaging Titles from 4LTR Press)
2nd Edition
ISBN: 9781285458144
Author: Gary Heiman
Publisher: Cengage Learning
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Chapter 12, Problem 20SP
You measure the dependent variable of participants’ relaxation level as a
| Amount of Fantasy | |||
| Low | Medium | High | |
| Mediation | 5 | 7 | 9 |
| 6 | 5 | 8 | |
| 2 | 6 | 10 | |
| 2 | 9 | 10 | |
| 5 | 5 | 10 | |
| No Mediation | 10 | 2 | 5 |
| 10 | 5 | 6 | |
| 9 | 4 | 5 | |
| 10 | 3 | 7 | |
| 10 | 2 | 6 |
Source |
Sum of Squares |
|
|
|
| A: Fantasy | 42.467 | 2 | 21.233 | 13.134 |
| B: Mediation | .833 | 1 | .833 | .515 |
|
|
141.267 | 2 | 70.633 | 43.691 |
| Within | 38.800 | 24 | 1.617 | |
| Total | 223.367 | 29 |
(a) Which effects are significant? (b) Compute the main effect means and the interaction means. (c) Perform the Tukey HSD test where appropriate. (d) What do you conclude about the relationship(s) this study demonstrates? (e) Evaluate the impact of each effect.
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Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Chapter 12 Solutions
Behavioral Sciences STAT (with CourseMate Printed Access Card) (New, Engaging Titles from 4LTR Press)
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- Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forward2 (VaR and ES) Suppose X1 are independent. Prove that ~ Unif[-0.5, 0.5] and X2 VaRa (X1X2) < VaRa(X1) + VaRa (X2). ~ Unif[-0.5, 0.5]arrow_forward8 (Correlation and Diversification) Assume we have two stocks, A and B, show that a particular combination of the two stocks produce a risk-free portfolio when the correlation between the return of A and B is -1.arrow_forward
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