Prompts for Forum 2b: Evans Basic Statistics: Chapters 5-8

Here are a few additional exercises (and some additional instruction) to go with Chapters 5-8 in Evans’ Basic Statistics Web Site. Please complete the exercises and, briefly, provide answers and comments on Forum 2b. You can work in groups on these exercises.

 

 

 

Exercise 6: Explain when it would make sense to report an effect size instead of (or in addition to) the level of significance?

When performing a statistical analysis, we are generally looking for a statistic large enough to REJECT the Null Hypothesis at some pre-specified significance (alpha) level (usually .05 or .01). Many journal editors, however, insist that effect sizes be reported, also. Why do you think they want effect sizes reported?

 

Exercise 7: Suppose you recorded the order in which students turn-in a test and scores they receive on the test. Then you computed a correlation between the students’ place in the order and their test scores and get a correlation of -0.65. What is your interpretation? What type of correlation coefficient would you compute? Why?

 

Exercise 8: A social scientist determined, after studying several communities, from small towns to large cities, that there was a positive correlation between the number of single women and the number of automobile accidents. Some might argue that, because single women spend more time on cell phones, they are more easily distracted and, hence, are involved in more accidents. Do you agree with this explanation? What else might lead to a positive correlation?

 

Exercise 9: On a particular 5-choice, multiple choice item, a group of 56 students responded as follows:

 

Choice A

Choice B

Choice C

Choice D

Choice E

10

8

13

16

9

 

Given that Choice D is the correct choice, do the data in the table support a claim that the students answering D were more knowledgeable than students who selected other choices? Explain.

 

Exercise 10: Samples of freshmen, sophomore, junior, and senior college woman were surveyed as to the color of their hair. The results were as shown below. Is there evidence to support the statement, "The color of college women's hair is dependent upon their level of academic classification"? How strong is the relationship between level of academic classification and color of hair?

 

 

Black

Brown

Red

Blond

Freshmen

6

2

2

12

Sophomores

6

2

3

12

Juniors

5

9

3

9

Seniors

2

11

2

3