A medical researcher is concerned about mistakenly concluding that a new medication is effective when it really is not. What type of error is the researcher concerned about making (Type I or Type II)? Describe what the researcher might do to decrease the likelihood of making that type of error. Discuss ramifications of your suggested approach for other types of error in the study
What will be an ideal response?
The researcher is concerned about making a Type I error: concluding that there are differences between the medication and placebo groups when these are really due merely to chance. The researcher can reduce her chances of making a Type I error by reducing her probability (alpha) level—from .05 to .01 or even .001, for instance. The more stringent the probability level, the less likely the researcher will be to make a Type I error. However, Type I and Type II errors exist in an inverse relationship. So as the chance of making a Type I error decreases, the chance of making a Type II error
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Indicate whether the statement is true or false
If your sample mean is 12, your population average is 19, and your standard error of the mean is 4, what is your observed z value?
a. ?1.75 b. 5 c. 4 d. 6
Drill and practice
a. Can be adapted to the individual student's knowledge and skill level. b. Is appropriate when teaching complex ideas. c. Has fallen into disfavor as an outmoded used of technology. d. None of the above.
A student who thinks, "I just want to survive college and graduate so I won't take classes that are difficult or instructors who have a reputation for being 'hard'" has a __________ mindset
a. fixed b. growth