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1. Body composition assessment taken every week for an 8-week resistance training program represents what perspective of evaluation? a. criterion-referenced b. norm-referenced c. summative d.

1. Body composition assessment taken every week for an 8-week resistance training program represents what perspective of evaluation?

a. criterion-referenced

b. norm-referenced

c. summative

d. formative

2. What comparison is involved when a norm-referenced standard is used to make an evaluative decision?

a. a score to a set standard

b. a student's performance compared to the minimum score needed to pass an exam

c.an ATS' score compared to the 90th percentileof scoreson the boardexam

d. a student's score to a score of 90as set by mulitple instructors

3. The mode is the most sensitive measure of central tendency to outliers.

a. true

b. false

4. A track and field coach determines that she will keep the top 10 percent highest pole vaulters of all those who've tried out on her team. This is an example of a norm-referenced standard.

a. true

b. false

5. If a correlation of .80 is found between mile-time and the number of push-ups one can do, this would mean that generally people who run slower can achieve a greater number of push-ups.

a. true

b. false

6. Skinfolds are often used in multiple regression equations to estimate body fatness. These equations may include more thanone predictor variable.

a. true

b. false

7. A wellness group performed a survey at a company's employees on workplace stress and physical activity. They are interested in comparing "coping with workplace stress" scores between 4 groups of respondents (N=31) classified by physical activity (sedentary, low, moderate, high). If the "p value" of the corresponding statistical test is below the a priori significance level of 0.05, then the probability of observing between-group differences in coping stress scores as big as the one found in this study (in a world where physical activity had no effect on coping with stress) is less than 5%.

a. true

b. false

8. Setting a low significance level (i.e., alpha = 0.05) protects against committing a Type II error, which is committed when a researcher fails to reject a false null hypothesis.

a. true

b. false

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