Exam UPDATED QUESTIONS AND
CORRECT ANSWERS
A sports radio show wants to determine what percentage of people who exercise regularly. They ask
listeners to call in and report whether they exercise regularly or not. What type of bias might be a
problem?
- recall
- desirability
- measurement
- selection - CORRECT ANSWER selection
A type I error is made when
- "the null hypothesis is rejected when it is actually true "
- the null hypothesis is not rejected when it is false
- the alternative hypothesis is not rejected when it is false
- the alternative hypothesis is not rejected when it is true - CORRECT ANSWER "the null
hypothesis is rejected when it is actually true "
Is the temperature of the room during a study an extraneous or confounding variable?
- Extraneous
- Confounding
- Neither - CORRECT ANSWER Extraneous (influences the outcome of an experiment and
confounding variables are associated with both exposure and outcome, making the relationship look
different than it really is)
_____is the ability of the test to discover a difference if one actually exists.
- error
, - hypothesis
- power - CORRECT ANSWER power (the power of a hypothesis test is the probability of
rejecting the null hypothesis if the null is false and finds a difference if it actually exists)
________ affects the power of a study
- standard deviation
- population mean
- effect size
- standard error - CORRECT ANSWER effect size (power is affected by effect size, sample size
,level of significance, and power)
Which of the following occurs when you reject the null hypothesis when it is really true?
- Power
- Type I error
- Type II error
- Sampling error - CORRECT ANSWER Type 1 Error
What does a confidence interval tell you?
- The average values of the population data
- The magnitude and power of a range of population values
- The variability between a range of population values
- The best estimate of the range of a population value - CORRECT ANSWER The best estimate
of the range of a population value (it tells you how confident you are that the population mean falls
between two scores)
How do you interpret the confidence interval for women's height (in inches) at significance level of
1% that is written (62.2, 66.8)?