Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
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Chapter 12, Problem 1FP
To determine
Explain the meaning of the terms One-way and between-subjects.
Expert Solution & Answer
Answer to Problem 1FP
The term one way indicates that only one factor is being observed and the Between-subjects describes that the different participants are being observed at each factor levels.
Explanation of Solution
One way ANOVA:
It is the statistical procedure which is used to compare the means of two or more groups that differs significantly. This design consists of one dependent variable and independent variable with more than 2 levels.
One-way between subjects ANOVA:
It is the statistical procedure that is used to test the hypotheses for the one factor with the two more levels by measuring the variances among two or more means. Moreover it is used when the participants are observed differently at level of the factor with the unknown population variance.
The outcomes for the test statistic of an ANOVA are positively skewed for the distribution. The distribution is determined as the F distribution which is obtained from the sampling distribution of F-ratio.
Justification: The term one way means it considers only one factor in the study being tested and between subjects is determined as the different participants are being observed at the each group and samples are selected independently from one or more population with the unknown population variance.
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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
Statistics for the Behavioral Sciences
Ch. 12.2 - Prob. 1.1LCCh. 12.2 - Prob. 1.2LCCh. 12.2 - Prob. 1.3LCCh. 12.2 - Prob. 1.4LCCh. 12.4 - Prob. 2.1LCCh. 12.4 - Prob. 2.2LCCh. 12.4 - Prob. 2.3LCCh. 12.4 - Prob. 2.4LCCh. 12.6 - Prob. 3.1LCCh. 12.6 - Prob. 3.2LC
Ch. 12.6 - Prob. 3.3LCCh. 12.6 - Prob. 3.4LCCh. 12.6 - Prob. 3.5LCCh. 12.6 - Prob. 3.6LCCh. 12.7 - Prob. 4.1LCCh. 12.7 - Prob. 4.2LCCh. 12.7 - Prob. 4.3LCCh. 12.9 - Prob. 5.1LCCh. 12.9 - Prob. 5.2LCCh. 12 - Prob. 1FPCh. 12 - Prob. 2FPCh. 12 - Prob. 3FPCh. 12 - Prob. 4FPCh. 12 - Prob. 5FPCh. 12 - Prob. 6FPCh. 12 - Prob. 7FPCh. 12 - Prob. 8FPCh. 12 - Prob. 9FPCh. 12 - Prob. 10FPCh. 12 - Prob. 11FPCh. 12 - Prob. 12FPCh. 12 - Prob. 13CAPCh. 12 - Prob. 14CAPCh. 12 - Prob. 15CAPCh. 12 - Prob. 16CAPCh. 12 - Prob. 17CAPCh. 12 - Prob. 18CAPCh. 12 - Prob. 19CAPCh. 12 - Prob. 20CAPCh. 12 - Prob. 21CAPCh. 12 - Prob. 22CAPCh. 12 - Prob. 23CAPCh. 12 - Prob. 24CAPCh. 12 - Prob. 25CAPCh. 12 - Prob. 26CAPCh. 12 - Prob. 27CAPCh. 12 - Prob. 28CAPCh. 12 - Prob. 29PRCh. 12 - Prob. 30PRCh. 12 - Prob. 31PRCh. 12 - Prob. 32PRCh. 12 - Prob. 33PRCh. 12 - Prob. 34PR
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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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