# Both ed and von study learning statistics if both men

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2. Both Ed and Von study learning statistics. If both men conduct similar studies using samplesof the same size and drawn from the same population, and Ed sets his alpha level = .05 and Vonsets his alpha - .001, what is the most reasonable conclusion regarding the researchers' chance ofcommitting 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 areconsistent with the null hypothesis.\
5. In Ed's study on differences in test performance after a distributed review (reviewing spreadout over weeks) or a massed review ("cramming" just before the test), he found that students inthe 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 conditionswas 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 levelof 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 = .001to p = .05, means the t value needed to indicate the difference between groups is statisticallysignificant will
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Term
Summer
Professor
sae young
Tags
Statistical hypothesis testing, researcher