solved: True or False Questions Question 1 When using the chi-square test…

  

True or False Questions Question 1 When using the chi-square test…True or False QuestionsQuestion 1 When using the chi-square test statistic, “expected” frequencies are those that researchers observe in the sample.  TrueFalse  Question 2 When adding a control variable does not affect the statistical significance of relationships, the result is called replication. TrueFalse  Question 3 A 5 percent level of significance suggests a higher level of confidence than a 1 percent level of significance. TrueFalse  Question 4When both variables are categorical, the t-test should be used for hypothesis testing. TrueFalse  Question 5 One-tailed tests are used most often, unless compelling a priori knowledge exists or it is known that one group cannot have a larger mean than the other.  TrueFalse   Question 6 If the Levine’s test shows an inequality of variances, you can trust either t-test number produced in SPSS. TrueFalse  Question 7 Nonnormality is sometimes overcome through variable transformation. TrueFalse  Question 8A paired t-test is best for pretest/post-test analyses. TrueFalse  Question 9 When problems of nonnormality cannot be resolved adequately, analysts should consider nonparametric alternatives to the t-test.  TrueFalse  Question 10 The Spearman’s Rho is an independent-samples test that is analogous to correlation. TrueFalse  Question 11 Simple regression is appropriate for examining the bivariate relationships between two continuous variables. TrueFalse  Question 12 The null hypothesis in regression is that the intercept is zero.  TrueFalse  Question 13 A scatterplot is a plot of the data points of two continuous variables.TrueFalse  Question 14 R-square is called the coefficient of determination.  TrueFalse  Question 15 A negative slope in regression, indicates an upward sloping line.  TrueFalse  Question 16 In multiple regression, significance is of the model is determined by the F-test. TrueFalse Question 17 R-square is the percent variation of the dependent variable explained by the independent variable(s).  TrueFalse  Question 18 R-square varies from 1 to 2.TrueFalse Question 19 The Spearman’s rank order correlation coefficient tests whether the rank orders of responses of two variables are statistically associated.  TrueFalse  Question 20T values allow us to see which variables in a multiple regression model are significant in explaining the variance in the dependent model. TrueFalse Question 21 The error term accounts for all variables not specified in the model.  TrueFalse  Question 22 It is okay for independent variables not to be correlated with the dependent variables, as long as they are highly correlated with each other.  TrueFalse Question 23 The global F-test examines the significance of the overall effect of all independent variables, jointly on the dependent variable. TrueFalse Question 24A dummy variable can have only two values, 0 and 1. TrueFalse  Question 25 Heteroscedasticity occurs when one of the dependent variables is linearly related to the independent variable.  TrueFalse  Question 26 Outliers are observations whose multiple regression residuals exceed three standard deviations from the regression line or plane. TrueFalse  Question 27 It is okay to include irrelevant variables in a regression model, as long as they are significant.Group of answer choicesTrueFalse MathStatistics and Probability STA 205

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