A researcher wants to know if the type of lighting in a room affects reading com

Question

A researcher wants to know if the type of lighting in a room affects reading comprehension. He has participants take a reading comprehensive test in one of two rooms (to which they have been randomly assigned) - a room illuminated by "traditional" incandescent light bulbs, or a room illuminated by fluorescent light bulbs. What kind of statistical test should he do in order to determine whether there is a significant difference between the mean test scores of the two groups. a) a one-sample z-test b) a one-sample t-test c) an independent measures t-test d) a dependent measures t-test If the researcher above was concerned that participants' reading speed could affect comprehension, what could he do to rule out the possibility that any differences he observes in reading comprehension scores could be the result of reading speed and not type of lighting? a) He could make students read at the same fast speed. b) He could make students read at the same slow speed. c) He could pretest students and match the groups on reading speed. d) He could let students read as fast or as slow as they want. If the researcher chose a different design, and had participants take the test under both conditions - first, with "traditional" lighting, and then with "fluorescent" lighting - what test should he use? a) a one-sample z-test b) a one-sample t-test c) an independent measures t-test d) a dependent measures t-test What is plotted in the sampling distribution of differences between means? a) differences between means b)mean differences c)means d) standard deviations What is plotted in the sampling distribution of mean differences? a) differences between means b) mean differences c)means d) standard deviations What measure indicates how much variation there is in (all possible) differences between means? a) the estimated standard error of mean differences b) the estimated standard error of the mean c) the estimated standard error of differences between means What measure indicates how much variation there is in (all possible) mean differences? a) the estimated standard error of mean differences b) the estimated standard error of the mean c) the estimated standard error of differences between means When doing a two-sample test (like an independent measures t-test, for example), it's acceptable to choose the alpha level (e.g.. .05 or .01) after you've obtained your t-statistic. True or False? a) true b) false

Explanation / Answer

By definitions we have

Q-1-c as participants in one room are not in other room

Q-2-c as matched pair will remove the individual different

Q-3-d- as paired design is present.

Q-4-a

Q-5-b

Q-6-c

Q-7-a

Q-8-b

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