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Common Errors in Statistics (and How to Avoid Them), 4th Edition
book

Common Errors in Statistics (and How to Avoid Them), 4th Edition

by Phillip I. Good, James W. Hardin
July 2012
Intermediate to advanced
352 pages
9h 30m
English
Wiley
Content preview from Common Errors in Statistics (and How to Avoid Them), 4th Edition

DECISIONS

The primary hypothesis/alternative hypothesis duality is inadequate in most real-life situations. Consider the pressing problems of global warming and depletion of the ozone layer. We could collect and analyze yet another set of data and then, just as is done today, make one of three possible decisions: reduce emissions, leave emission standards alone, or sit on our hands and wait for more data to come in. Each decision has consequences, as shown in Table 2.4.

TABLE 2.4. Results of a presidential decision under different underlying facts about the cause of hypothesized global warming

c02tbl0004ta

As noted at the beginning of this chapter, it is essential that we specify in advance the actions to be taken for each potential result. Always suspect are after-the-fact rationales that enable us to persist in a pattern of conduct despite evidence to the contrary. If no possible outcome of a study will be sufficient to change our mind, then we ought not undertake such a study in the first place.

Every research study involves multiple issues. Not only might we want to know whether a measurable, biologically (or medically, physically, or sociologically) significant effect takes place, but what the size of the effect is and the extent to which the effect varies from instance to instance. We would also want to know what factors, if any, will modify the size of the effect or its duration.

We may ...

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