n general, if the variance of the difference scores increases, what willhappen to the value of the t statistic?Question 33 options:It will increase (move farther toward the tail of the distribution).It will decrease (move toward 0 at the center of the distribution).It will stay the same; the t statistic is not affected by the variance ofthe differencescores.It may increase or may decrease; there is no consistentrelationship between variance and the size of the t statistic.

In general, if the variance of the difference scores increases, the value of the t statistic is more…

Answered: n general, if the variance of the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A personality psychologist was interested in the relationship between height and income. They found there was a relationship and the effect size was: r = 0.08 in correlational units. Calculate a binomial effect size display(BESD) and then tell me what percentage of people who are tall (like me) you would predict to make more money than the average person. The correlation was randomly generated by eClass, so don't start daydreaming about how much or little you or I will make. Answer:
Tiffany is a manager who needs to fire the worst performing 3% of employees. At her organization, employee performance is a normally distributed variable. Tiffany should fire employees who have a performance score that correspond with a z-score less than or equal to _____
Statistics Question
4. Review the variance function for specific distributions. For Bernoulli, Poisson, Gamma, and Inverse Gaussian, what does the variance function say about our ability to predict the range of possible values? (This may be a little bit challenging; give it your best guess.)
A researcher conducts a standard multiple regression analysis to predict alcohol addiction as a function of the following predictors: loneliness (sr squared = .04), employment status (sr squared = .16), and self-efficacy (sr squared = .25). If there is no shared variance, the partial correlation squared for self-efficacy would be: a. .556 (i.e., .25 / .45) b. .50 (i.e., squareroot(.25)). c. .454 (i.e., .25 / .55) d. .313 (i.e., .25 / .80)
31
The following data were used in a regression study. Observation xi yi Observation 1 2 4 6 5 6 2 2 5 7 5 4 3 2 3 8 6 11 4 3 4 9 6 12 5 4 5 -select your answer choices- b. (A, B, C, D) Do the assumptions about the error term seem to be satisfied? The assumption that the variance is (different, the same) for all values of x is questionable. The variance appears to (decrease, stay the same, increase) for larger values of x .
The scatterplot below shows the relationship between two random variables X and Y. (a) Is the correlation a good metric for describing the relationship between X and Y for these data? Why or why not? Regardless of your answer suppose you calculated the sample correlation between X and Y and found that r = -0.15. Explain in one sentence what this means. (b) If, as noted in (a), r = -0.15 then what is the value of the correlation between 2X and 5Y? (c) Based on (b) draw your best approximation to the least squares regression line that fits the data above. Also, make a rough sketch of the corresponding residual plot.
The popularity of computer, video, online, and virtual reality games has raised concerns that they might negatively affect youth. The data in this exercise are based on a recent survey of 14- to 18-year-olds in Connecticut high schools. The table displays the grade distributions of boys who have and have not played video games. Played games Never played games A's and B's: C's: A's and B's D's and F's: 744 210 Grade Average C's 445 140 D's and F's Find the conditional distribution of grades (the response variable) for nonplayers. Give your answers to two decimal places. 197 84 % % %
EXAMPLE 4.9 Students who seek therapy at university counseling centers often do not attend many sessions. For example, in one study, the median number of therapy sessions was 3 and the mean was 4.6 (Hatchett, 2003). Let’s examine the spread of fictional scores for a sample of five students: 1, 2, 4, 4, and 10 therapy sessions, with a mean of 4.2. We find out how far each score deviates from the mean by subtracting the mean from every score. First, we label with an X the column that lists the scores. Here, the second column includes the results we get when we subtract the mean from each score, or X − M. We call each of these a deviation from the mean (or just a deviation)—the amount that a score in a sample differs from the mean of the sample. X X − M 1 − 3.2 2 − 2.2 4 − 0.2 4 − 0.2 10 5.8 But we can’t just take the mean of the deviations. If we do (and if you try this, don’t forget the signs—negative and positive), we get 0—every time. Are you surprised?…
If all the points in a scatter plot fall precisely on the regression line then the correlation is____ choose one perfect or negative or positive
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