A) A t test
B) A correlation
C) A scatterplot
D) A bar graph
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Multiple Choice
A) Curvilinear relationships require a large amount of scores.
B) r always looks for the best straight line to fit the data.
C) r always assumes a zero association.
D) r always assumes a negative relationship.
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Essay
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Multiple Choice
A) Life satisfaction and experience of daily stress
B) Number of friends one has and experience of daily stress
C) Number of friends one has and life satisfaction
D) Life satisfaction, experiences of daily stress, and number of friends one has simultaneously
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Multiple Choice
A) The association should be rejected as inconclusive.
B) The study must be done again using the same participants.
C) The effect size should be considered, but tests of statistical significance should not.
D) The findings should be replicated in another population.
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Multiple Choice
A) The association found in her study could probably generalize to young adults.
B) The association found in her study could probably generalize to elderly people in other large cities in the South.
C) The association found in her study could probably generalize to people living in other capital cities (e.g., Sacramento, California) .
D) The association found in her study could probably generalize to elderly persons living in nursing homes.
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Multiple Choice
A) construct validity
B) external validity
C) internal validity
D) statistical validity
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Multiple Choice
A) Moderators suggest that associations may be spurious.
B) Moderators suggest that associations may not generalize to all subgroups of people.
C) Moderators are necessary for external validity to be established.
D) Moderators suggest that an association between two variables will extend to another variable.
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Multiple Choice
A) The probability of her sample coming from a zero association population is about 4%.
B) The probability of her sample coming from a zero association population is about 96%.
C) The relationship is not statistically significant.
D) The strong correlation means that the number of friends one has causes an increase in life satisfaction.
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Multiple Choice
A) outlier.
B) cause.
C) moderator.
D) spurious variable.
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Multiple Choice
A) population value
B) possibility assessment
C) probability estimate
D) plausible significance approximation
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Multiple Choice
A) random
B) moderators
C) outliers
D) curvilinear scores
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Multiple Choice
A) the study can be applied to the real world.
B) Martin used a larger number of subjects.
C) Martin measured frontal lobe activity extremely accurately.
D) Martin's measure of prescription stimulant use is categorical.
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Multiple Choice
A) spurious data
B) an outlier effect
C) restriction of range
D) null effect
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Multiple Choice
A) Quantitative variables need to be assessed, but qualitative variables do not.
B) The reliability of the measures is more important than their validity.
C) How each variable was measured must be considered.
D) Only the construct validity of the outcome variable needs to be interrogated.
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Multiple Choice
A) These scores may have strengthened the correlation between these two variables.
B) These scores are more likely to have an effect because of the large sample size.
C) These scores are more likely to have an effect because they are extreme on both variables.
D) These scores may be considered outliers.
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Multiple Choice
A) The correlation is negative.
B) The correlation is unlikely to have come from a zero association population.
C) The correlation is not statistically significant.
D) The effect size is large.
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Essay
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