PSYCH 210 FINAL EXAM QUIZ QUESTIONS &
ANSWERS
A researcher says that her analysis shows that the effect of the independent variable on
the dependent variable is statistically significant. This means that the effect is: - Answer
-very unlikely to occur by chance
In hypothesis testing, a Type I Error is: - Answer -rejecting the null hypothesis when the
null hypothesis is true
In hypothesis testing, a Type II Error is: - Answer -failing to reject the null hypothesis
when the null hypotheses is false
In hypothesis testing, power is defined as the probability of: - Answer -rejecting the null
hypothesis when the null hypothesis is false
If one were testing whether a particular sample was drawn from a population with a
particular mean and the standard deviation of the entire population was known, one
would use the ______test to statistically answer the question. - Answer -Z
The alternative hypothesis for an independent-measures t test states __________. -
Answer -µ1 - µ2 not equal to 0
An assumption of the independent samples t-test is that the populations from which the
samples are drawn have equal variability. This assumption is known as: - Answer -
Homogeneity of variance
What type of test is most appropriate when you want to compare an outcome between
the same people at two different time points? - Answer -Correlated samples t-test
What type of test is most appropriate when you want to compare an outcome between
two groups with different people in each group? - Answer -Independent samples t-test
Why is regression analysis so important in the social sciences? - Answer -Allows us to
predict important outcomes
In multiple regression, we can use standardized regression coefficients (betas) to: -
Answer -see which predictor is the strongest/best predictor.
give us an indicator of relationship strength.
r-squared can be interpreted as: - Answer -the proportion of variance in Y that is
accounted for/explained by X.
A correlation coefficient of -1.32 tells us - Answer -we have calculated it ineffectively
ANSWERS
A researcher says that her analysis shows that the effect of the independent variable on
the dependent variable is statistically significant. This means that the effect is: - Answer
-very unlikely to occur by chance
In hypothesis testing, a Type I Error is: - Answer -rejecting the null hypothesis when the
null hypothesis is true
In hypothesis testing, a Type II Error is: - Answer -failing to reject the null hypothesis
when the null hypotheses is false
In hypothesis testing, power is defined as the probability of: - Answer -rejecting the null
hypothesis when the null hypothesis is false
If one were testing whether a particular sample was drawn from a population with a
particular mean and the standard deviation of the entire population was known, one
would use the ______test to statistically answer the question. - Answer -Z
The alternative hypothesis for an independent-measures t test states __________. -
Answer -µ1 - µ2 not equal to 0
An assumption of the independent samples t-test is that the populations from which the
samples are drawn have equal variability. This assumption is known as: - Answer -
Homogeneity of variance
What type of test is most appropriate when you want to compare an outcome between
the same people at two different time points? - Answer -Correlated samples t-test
What type of test is most appropriate when you want to compare an outcome between
two groups with different people in each group? - Answer -Independent samples t-test
Why is regression analysis so important in the social sciences? - Answer -Allows us to
predict important outcomes
In multiple regression, we can use standardized regression coefficients (betas) to: -
Answer -see which predictor is the strongest/best predictor.
give us an indicator of relationship strength.
r-squared can be interpreted as: - Answer -the proportion of variance in Y that is
accounted for/explained by X.
A correlation coefficient of -1.32 tells us - Answer -we have calculated it ineffectively