A) Bivariate regression
B) One-way analysis of variance
C) Multiple regression
D) Chi-square test for independence
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Multiple Choice
A) the between groups variance.
B) the means across all of the participants in the study.
C) only the means from the control group.
D) n times the degrees of freedom.
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Multiple Choice
A) effect size.
B) mean square variance.
C) statistical significance.
D) the interaction.
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Multiple Choice
A) systematic error.
B) differences among the group means.
C) that the group means are from the same population.
D) random error.
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Multiple Choice
A) increases.
B) decreases.
C) does not change.
D) may increase or decrease.
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Multiple Choice
A) Kappa
B) Alpha
C) Phi
D) r
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Multiple Choice
A) the proportion of variance accounted for by the correlation coefficient.
B) whether the null hypothesis can be rejected.
C) whether the correlation is positive or negative.
D) whether the population has been randomly sampled.
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Multiple Choice
A) r.
B) Cohen's kappa.
C) Phi.
D) Cramer's statistic.
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Multiple Choice
A) the overall effectiveness of the dependent variable.
B) the ability to predict a correlation coefficient.
C) the average effect size.
D) the best possible prediction of the dependent variable
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Multiple Choice
A) there is random error.
B) the group means are from the same population.
C) the null hypothesis that the differences between the groups are due only to chance can be rejected.
D) there was an error in the calculation.
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Multiple Choice
A) the F value.
B) the degrees of freedom.
C) the sum of squares.
D) eta.
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Multiple Choice
A) .56
B) -.81
C) -.05
D) .34
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Multiple Choice
A) there is no relationship between the variables.
B) high scores on one variable are associated with low scores on the other variable.
C) high scores on one variable are associated with high scores on the other variable.
D) it was not calculated accurately.
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Multiple Choice
A) Chi-square statistic
B) Kappa
C) Bivariate regression
D) Pearson's r
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Multiple Choice
A) predict a score on a second variable from a known score on a first variable.
B) determine the strength of the relationship between two nominal variables.
C) predict the differences between scores on one variable from the scores on a second variable
D) determine the causal relationship between two variables.
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Multiple Choice
A) all of the points on the scatterplot will fall on the line of best fit.
B) there is a weak positive correlation.
C) variable x causes variable y.
D) the r will not be statistically significant.
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Multiple Choice
A) The chi-square statistic
B) Bivariate regression
C) ANOVA
D) Pearson's r
Correct Answer
verified
Multiple Choice
A) there is random error.
B) the group means are from the same population.
C) the null hypothesis that the differences between the groups are due only to chance can be rejected.
D) there was an error in the calculation.
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Multiple Choice
A) low; high
B) high; low
C) high; high
D) high; medium
Correct Answer
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Multiple Choice
A) Chi-square analysis
B) One way ANOVA
C) Contingency table analysis
D) Bivariate regression
Correct Answer
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