12. False, skewness measures left or right distortion
13. False
14. True
15. True
16. True
17. True
18. True
12. Skewness is a quantitative measure of the degree of peakedness of a distribution 13. The...
Circle the letter of the best answer. Many researchers tend to assume that any missing data that occur within their dataset: Are random in nature. Are caused by research participants not giving honest answers. Reflect responses to a taboo topic where participants were ashamed to answer the question(s). None of the above is correct. There are three fundamental causes for outliers: Data-entry errors were made by the researcher. The participant is not a member of the population for which the...
17. Residuals are defined as the portion of scores not accounted for by the multivariate analysis. T or F 18. Homoscedasticity is the assumption that the variability in scores for one continuous variable is roughly the same at all values of another continuous variable. T or F 19. With univariate analyses, homogeneity of variances is assessed statistically with Levene’s test. T or F 20. In multivariate situations, homoscedasticity can be assessed statistically by using Box’s M test for equality of...
explanation not required Question 33 A sampling distribution is a distribution of scores in a population. Select one: True False Q 34 Question 34 The appropriate correlation coefficient for measuring the direction and strength of the linear relationship between one continuous and one dichotomous variable is the Select one: a. Spearman rank-order correlation coefficient b. None of these c. Phi correlation coefficient d. Point-biserial correlation coefficient Q 35 Question 35 Three assumptions for a correlation are homoscedasticity, linearity, and normality....
Need help with stats true or false questions Decide (with short explanations) whether the following statements are true or false a) We consider the model y-Ao +A(z) +E. Let (-0.01, 1.5) be a 95% confidence interval for A In this case, a t-test with significance level 1% rejects the null hypothesis Ho : A-0 against a two sided alternative. b) Complicated models with a lot of parameters are better for prediction then simple models with just a few parameters c)...