Question

In: Statistics and Probability

1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between...

1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between two variables. Why does the equation include taking the variability of x and y separately?

A. To assess any error between participants for both variables X and Y.

B. Both to assess how spread out the scores are around the mean for variable X and the mean of variable Y and to assess any error between participants for both variables X and Y.

C. To assess how spread out the scores are around the mean for variable X and the mean for variable Y

D. Both to assess the amount of covariability between both variable x and y and to assess how spread out the scores are around the mean for variable X and the mean for variable Y.

2. If researchers report that the results from their study were significant, p < .05, this results indicates that

A. We definitely made a Type I error.

B. the results are untrustworthy.

C. The probability of obtaining an effect at least as extreme as the one in your sample data assuming a true null hypothesis, is LESS than 5%.

3. The conclusion from a study indicated that the MMR vaccine was not associated with increased risk of ASD, regardless of whether older siblings had ASD, What type of statistics was probably used?

A. z-test

B. Chi Square Goodness of Fit

C. Pearson's R

4. Informed consent involves

A. None of the answers are correct.

B. both informing participants about what they will experience in a study and obtaining participants consent to include them in the study.

C. keeping participants data confidential.

D. obtaining participants consent to include them in the study.

Solutions

Expert Solution

1. The equation for the Pearson's correlation coefficient determines the strength of the linear relationship between two variables. Why does the equation include taking the variability of x and y separately?

D. Both to assess the amount of covariability between both variable x and y and to assess how spread out the scores are around the mean for variable X and the mean for variable Y.

2. If researchers report that the results from their study were significant, p < .05, this results indicates that

C. The probability of obtaining an effect at least as extreme as the one in your sample data assuming a true null hypothesis, is LESS than 5%.

3. The conclusion from a study indicated that the MMR vaccine was not associated with increased risk of ASD, regardless of whether older siblings had ASD, What type of statistics was probably used?

B. Chi Square Goodness of Fit

4. Informed consent involves

B. both informing participants about what they will experience in a study and obtaining participants consent to include them in the study.


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