need assistance with the following:

\f4. The scale of measurement of a ranking variable is: A. Nominal B. Ordinal C. Ratio D. Interval5. Which of the following graphical methods can help you judge the normality assumptions of your data? A. Stem and leaf B. Histogram C. Box and Whiskers plot D. All of the above16. If I was interested in graphically examining the normality of my test scores, which method/graph would be most appropriate and informative? A. Pie chart B. Bar chart C. Box plot (Box and Whiskers Plot) D. Scatterplot20. Under the assumptions of a one sample t-test, what is assumed to be normally distributed in the population? A. The mean B. The outcome measure C. The standard deviations D. The differences between outcome measures22. An obtained correlation coefficient of 0.17 would be considered, under Cohen's rules of thumb, a correlation. A. Low B. Moderate C. Non-existent D. High23. A researcher conducted a study and correlated two variables of interest. His obtained correlation coefficient was -0.87 and was statistically significant (p=.00001). If the two variables being correlated were hours per week spent exercising and systolic blood pressure, what can we assume about the systolic blood pressure of a person who spends a lot of time per week exercising? 24. For question 22, which graphical method would I use to "show" me the correlation between the two variables of interest? A. Stem and Leaf plot B. Histogram C. Pie Chart D. Scatterplot 25. If I know the correlation between two variables (r), what do I do with that statistic to answer the question of what percentage of variance is accounted for by the linear relationship between the two variables? 26. True or False: You can add variables to a regression equation and raise the R-squared value but still not have any of the added variables be statistically significant