Activity-Based Statistics: Student Guide by Richard L. Scheaffer

By Richard L. Scheaffer

This publication provides a set of hands-on actions for college students taking introductory facts, and is designed to have interaction the coed as a player within the studying approach. meant as a lab handbook and arranged round the significant themes coated in so much introductory classes, this booklet includes extra actions than can potentially be coated in a single path, permitting flexibility for person direction standards. Packaged in a cheap paperback structure, the pages are perforated and 3-hole punched for simple elimination of person actions. The 50+ experiments, versions, and simulations incorporated during this booklet are defined succinctly, giving scholars a transparent description of the actions with no additional examining. Many actions fit with expertise.

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The data shown are the population projections (in thousands) calculated from the sample responses. A Lot 6,297 3,613 197 2,114 Somewhat 2,882 1,677 90 793 A Little 1,441 625 16 354 Don't Care 1,709 822 33 377 a. Why would a question be formed in terms of peer behavior rather than as a direct question to the person being interviewed? b. Approximately how many teenagers in the United States never smoked (as of 1989)? c. What proportion of teenagers thought their peers cared a lot about keeping their weight down?

Exercise Vigorously yes 7,910 7,861 no 2,997 3,060 never 5,431 5,488 past 4,373 4,301 current 1,213 1,225 Cigarette smoking a. Do you think the randomization scheme did a good job in controlling these variables? Explain in terms of association or lack of association. b. Would you be concerned about the results for aspirin having been unduly influenced by the fact that most of the aspirin-takers were also nonsmokers? Explain. c. Would you be concerned about the placebo group possibly having too many nonexercisers?

Questions What are ratings and what are ranks? How are the two related? 37 38 AcriVITY-BASED STATISTICS Objectives In this lesson you will see how various factors may be combined to form a numerical rating of a person, place, or object. The method of combining these factors is often quite arbitrary, and this should be taken into account when ratings are interpreted. Thus, you will discover that changes in the relative weights of factors making up a rating can have a dramatic effect on the conclusions.

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