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A researcher wanted to know if aggressive behavior was related to watching violent programs on TV.He selected some students and measured how many violent programs they watched per week (from 0 to 25) and how aggressive their behavior was (as rated on a 1 to 7 scale) .What would be the most appropriate statistical analysis for these data?


A) Bivariate regression
B) One-way analysis of variance
C) Multiple regression
D) Chi-square test for independence

E) B) and C)
F) A) and C)

Correct Answer

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In a one-way ANOVA the grand mean is defined as


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.

E) None of the above
F) A) and B)

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In a one-way ANOVA, eta is the measure of


A) effect size.
B) mean square variance.
C) statistical significance.
D) the interaction.

E) B) and C)
F) A) and D)

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Within-group variance in an ANOVA is considered to indicate


A) systematic error.
B) differences among the group means.
C) that the group means are from the same population.
D) random error.

E) A) and B)
F) A) and C)

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As the value of r increases, the proportion of variability statistic


A) increases.
B) decreases.
C) does not change.
D) may increase or decrease.

E) B) and D)
F) B) and C)

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Kramer is conducting a chi-square analysis on a 2 x 2 contingency table.Which statistic should he use to calculate the effect size?


A) Kappa
B) Alpha
C) Phi
D) r

E) A) and B)
F) All of the above

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The coefficient of determination indicates


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.

E) A) and B)
F) A) and C)

Correct Answer

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For a 2 x 2 contingency table, the appropriate effect size statistic is


A) r.
B) Cohen's kappa.
C) Phi.
D) Cramer's statistic.

E) A) and C)
F) All of the above

Correct Answer

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The regression line measures


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

E) A) and B)
F) None of the above

Correct Answer

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If the F value indicates that the between-groups variance estimate is significantly greater than the within-groups variance estimate in an ANOVA, we can conclude that


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.

E) A) and D)
F) B) and C)

Correct Answer

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The ratio of the between-groups variance estimate to the within-groups variance estimate is indicated by


A) the F value.
B) the degrees of freedom.
C) the sum of squares.
D) eta.

E) A) and B)
F) B) and C)

Correct Answer

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A

Which of the following Pearson correlation coefficients indicates the strongest relationship between two variables?


A) .56
B) -.81
C) -.05
D) .34

E) A) and B)
F) None of the above

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A negative correlation coefficient indicates that


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.

E) A) and B)
F) A) and C)

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Researcher Jones is interested in assessing the relationship between sex of participant and helping behavior (whether the person helped or did not help) .Which of the following statistics should be used?


A) Chi-square statistic
B) Kappa
C) Bivariate regression
D) Pearson's r

E) B) and D)
F) B) and C)

Correct Answer

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A researcher calculates a regression equation in order to


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.

E) None of the above
F) A) and D)

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If r =1.00, then


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.

E) B) and C)
F) A) and B)

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What statistic is used to assess the degree of association between two nominal variables?


A) The chi-square statistic
B) Bivariate regression
C) ANOVA
D) Pearson's r

E) A) and B)
F) A) and C)

Correct Answer

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A

If the F value indicates that the between-groups variance is not significantly greater than the within-groups variance in an ANOVA, we can conclude that


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.

E) A) and C)
F) A) and D)

Correct Answer

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If a correlation is positive, this indicates that __________ scores on one variable are associated with __________ scores on another variable.


A) low; high
B) high; low
C) high; high
D) high; medium

E) A) and B)
F) A) and C)

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C

Which of the following statistical procedures could be used to measure the relationship between two quantitative variables?


A) Chi-square analysis
B) One way ANOVA
C) Contingency table analysis
D) Bivariate regression

E) A) and B)
F) A) and D)

Correct Answer

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