QUESTIONS AND ANSWERS GUARANTEED
TO PASS PRACTICE SOLUTION
●● 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: