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Mindtap Psychology, 2 Terms (12 Months) Printed Access Card For Gravetter/wallnau/forzano’s Essentials Of Statistics For The Behavioral Sciences, 9th
9th Edition
ISBN: 9781337612227
Author: Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Textbook Question
Chapter 14, Problem 23P
Solve the following problems.
- a. One set of 10 pairs of stores. X and Y values, produces a
correlation of r - 0.60. If SSY - 200, find the standard error of estimate for the regression line. - b. A second set of 10 pairs of X and Y values, produces a correlation of r - 0.60. If SSY - 200, find die standard error of estimate for the regression line.
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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 14 Solutions
Mindtap Psychology, 2 Terms (12 Months) Printed Access Card For Gravetter/wallnau/forzano’s Essentials Of Statistics For The Behavioral Sciences, 9th
Ch. 14.1 - Which of the following is a justified conclusion...Ch. 14.1 - Which of the following correlations indicates the...Ch. 14.2 - What is the value of SP for a set of n 5 pairs of...Ch. 14.2 - A set of n = 5 pairs of X and Y scores has SSx =...Ch. 14.2 - Prob. 3LCCh. 14.3 - A researcher obtains a strong positive correlation...Ch. 14.3 - A set of n = 10 pairs of X and Y values produces a...Ch. 14.4 - Prob. 1LCCh. 14.4 - The Pearson correlation is calculated for a sample...Ch. 14.5 - Prob. 1LC
Ch. 14.5 - Prob. 2LCCh. 14.5 - Prob. 3LCCh. 14.5 - A researcher would like to measure the...Ch. 14.6 - In the general linear equation Y = bX + a, what is...Ch. 14.6 - A set of n = 25 pairs of X and Y values has Mx =...Ch. 14.6 - Prob. 3LCCh. 14.6 - A researcher computes the regression equation for...Ch. 14 - Calculate SP (the sum of products of deviations)...Ch. 14 - Calculate SP (the sum of products of deviations)...Ch. 14 - For the following scores, X Y 2 7 5 4 4 7 7 5 2 6...Ch. 14 - For the following scores, X Y 0 4 2 9 1 6 1 9 a....Ch. 14 - For the following scores, X Y 4 0 1 5 1 0 4 5 a....Ch. 14 - For the following scores, X Y 3 6 5 5 6 0 6 2 5 2...Ch. 14 - With a small sample, a single point can have a...Ch. 14 - For the following set of scores, X Y 4 5 6 5 3 2 9...Ch. 14 - At the beginning of this chapter we discussed a...Ch. 14 - For a two-tailed test with = .05 use Table B.6 to...Ch. 14 - It appears that there is a significant...Ch. 14 - Sketch a graph showing the line for the equation Y...Ch. 14 - A set of n =18 pairs of scores (X and Y values)...Ch. 14 - A set of n = 15 pairs of scores (X and Y values)...Ch. 14 - Briefly explain what is measured by the standard...Ch. 14 - In general, how is the magnitude of the standard...Ch. 14 - For the following set of data, find the linear...Ch. 14 - For the following data: a. Find the regression...Ch. 14 - For the following scores: X Y 3 8 5 8 2 6 2 3 4 6...Ch. 14 - The regression equation is computed for a set of n...Ch. 14 - Solve the following problems. a. One set of 10...Ch. 14 - Does the regression equation from Problem 20...Ch. 14 - Solve the following problems. a. A researcher...
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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
- 9 (Portfolio allocation) Suppose R₁ and R2 are returns of 2 assets and with expected return and variance respectively r₁ and 72 and variance-covariance σ2, 0%½ and σ12. Find −∞ ≤ w ≤ ∞ such that the portfolio wR₁ + (1 - w) R₂ has the smallest risk.arrow_forward7 (Multivariate random variable) Suppose X, €1, €2, €3 are IID N(0, 1) and Y2 Y₁ = 0.2 0.8X + €1, Y₂ = 0.3 +0.7X+ €2, Y3 = 0.2 + 0.9X + €3. = (In models like this, X is called the common factors of Y₁, Y₂, Y3.) Y = (Y1, Y2, Y3). (a) Find E(Y) and cov(Y). (b) What can you observe from cov(Y). Writearrow_forward1 (VaR and ES) Suppose X ~ f(x) with 1+x, if 0> x > −1 f(x) = 1−x if 1 x > 0 Find VaRo.05 (X) and ES0.05 (X).arrow_forward
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