Both ed and von study learning statistics if both men

2. Both Ed and Von study learning statistics. If both men conduct similar studies using samples
of the same size and drawn from the same population, and Ed sets his alpha level = .05 and Von
sets his alpha - .001, what is the most reasonable conclusion regarding the researchers' chance of
committing a Type I error?
a. Ed stands a greater chance of committing a Type I error.
b. Von stands a greater chance of committing a Type I error.
c. Their chances of committing a Type I error are equal.
d. it cannot be determined
3. Which of the following is the most accurate statement? The t-test is the ratio of the
4. When you conduct a t-test, your obtained data are transformed into a single obtained t value. A
____________ of t values exists to allow you to know the probability that your data are
consistent with the null hypothesis.\
5. In Ed's study on differences in test performance after a distributed review (reviewing spread
out over weeks) or a massed review ("cramming" just before the test), he found that students in
the distributed review averaged 87% while students in the massed review averaged 76%.
Students who did not review at all averaged 57%. The difference between each of the conditions
was statistically significant. W/c of the ff is one thing we can conclude from Ed's study?
6. A researcher calculated a t value, with 29 degrees of freedom, to be 2.0. Given an alpha level
of p = .05, the corresponding table value is 2.045. Which of the following can be concluded?
a. The researcher has proven that there are differences between groups.
b. Differences between groups are not greater than those expected by chance.
c. The researcher has proven that there are no differences between groups.
d. Differences between conditions are greater than those expected by chance.
7. Given equal calculated t values and degees of freedom, a change in alpha level from p = .001
to p = .05, means the t value needed to indicate the difference between groups is statistically
significant will
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