A) regression analysis.
B) frequency analysis.
C) paired sample t-test.
D) cross tabulation.
E) Cramer's V.
Correct Answer
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Multiple Choice
A) The predictor variables must be correlated.
B) The variance among predictor variables must be equal.
C) The criterion variable must be normally distributed.
D) The predictor variables must be uncorrelated.
E) None of these are necessary assumptions.
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Multiple Choice
A) Longitudinal analysis
B) Coding
C) Cross-sectional analysis
D) Cross tabulation
E) One-way tabulation
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Multiple Choice
A) Just because two variables are correlated doesn't mean that one necessarily caused the other.
B) There is nothing in correlation analysis that can be used to establish causality.
C) When you obtain a statistically significant correlation coefficient between two variables,you can safely assume that one variable caused another.
D) All that analytical procedures can do is measure the nature and degree of association between variables.
E) Statements of causality must come from underlying knowledge and theories about the phenomena under investigation.
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True/False
Correct Answer
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Multiple Choice
A) for a single proportion.
B) of two means when samples are independent.
C) for a single mean.
D) of two means when samples are dependent.
E) None of these are correct.
Correct Answer
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Multiple Choice
A) a z-test for difference in two means.
B) analysis of variance (ANOVA) .
C) a paired samples t-test.
D) a chi-square goodness-of-fit test.
E) regression analysis.
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Multiple Choice
A) t-test
B) z-test
C) Chi-square test
D) Analysis of variance (ANOVA)
E) None of these are correct.
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Multiple Choice
A) unit change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
B) change in the criterion variable associated with an average change in the predictor variables.
C) average change in the criterion variable associated with an average change in the appropriate predictor variable while holding the other predictor variable constant.
D) average change in the criterion variable associated with a unit change in the appropriate predictor variable while holding the other predictor variable constant.
E) average change in the criterion variable associated with a unit change in the appropriate predictor variable.
Correct Answer
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Multiple Choice
A) cross tabulation.
B) Pearson chi-square test of independence.
C) Cramer's V.
D) regression analysis.
E) Kendall's coefficient of concordance.
Correct Answer
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Multiple Choice
A) x and y are highly related,whereby a positive change in x is accompanied by a positive change in y.
B) The two variables x and y are not related to one another.
C) x and y are highly related,whereby a negative change in x is accompanied by a positive change in y.
D) The coefficient of determination is equal to −0.81.
E) An increase in x is accompanied by a decrease in y.
Correct Answer
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Multiple Choice
A) Cross-tabulation
B) Independent samples t-test for means
C) Pearson chi-square test of independence
D) Paired sample t-test for means
E) Regression analysis
Correct Answer
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Multiple Choice
A) Multiple regression analysis
B) Pearson correlation coefficient
C) Chi-square test
D) Simple regression analysis
E) None of these are correct.
Correct Answer
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Multiple Choice
A) $35.80
B) $141,000
C) $35,800
D) $141.00
E) More information is needed to answer this question.
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True/False
Correct Answer
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Multiple Choice
A) accurately predict game attendance.
B) NOT predict game attendance accurately because the variable levels of today (i.e.,population,Dow,etc.) are out of range of those used to build the regression model.
C) predict game attendance accurately because the variable levels of today (i.e.,population,Dow,etc.) are out of range of those used to build the regression model.
D) predict game attendance accurately because the variable levels (i.e.,population,Dow,etc.) are within range of those used to build the regression model.
E) None of these are correct.
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Multiple Choice
A) It assesses the degree to which variables in a cross-tabulation are independent of one another.
B) The value can range from zero to some upper value limited by sample size and distribution of cases across the cells.
C) It doesn't measure the strength of association when variables are dependent.
D) It is only useful for univariate analysis.
E) All of these statements are true.
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True/False
Correct Answer
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Multiple Choice
A) The researcher should reject the null hypothesis at the 90% significance level.
B) The researcher might be able to reject the null hypothesis at the 95% level of significance.
C) The researcher cannot reject the null hypothesis at this significance level.
D) The researcher has provided evidence that people in urban areas use bank debit cards more than people in rural areas.
E) More information is needed before a decision about the null hypothesis can be made.
Correct Answer
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Multiple Choice
A) tabulation template.
B) tabulation matrix.
C) banner table.
D) causal digest.
E) analysis legend.
Correct Answer
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