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Mathematics, 02.06.2021 22:20 rendaescamilla

The widespread addition of fluoride to tap water in the United States and other countries has been credited with a drastic decrease in tooth decay. However, there is always some concern over possible harmful effects of any kind of treatment. Most studies so far have failed to show a negative impact of water fluoridation on health, but one study did report a significant decrease in IQ among individuals exposed to extra fluoride as children compared with individuals not exposed to this treatment. Commenting on this study in a news article on National Public Radio, Dr. Myron Allukian of the Harvard School of Dental Medicine said that the effect on IQ was small, accounting for only about a half-point difference. He further explained that a half-point difference in IQ is meaningless, just like a difference in adult heights of half a millimeter. (a) Why is it important to know the size of an effect and not just if the effect was statistically significant?
a. Because importance is the same as statistical significance while practical application is not.
b. Because practical application is the same as statistical significance while importance is not.
c. Because practical application and importance are not the same as statistical significance.
d. None of the options are correct.
(b) Can an effect be both small and statistically significant?
a. Yes, it is possible for a small effect with no practical relevance or importance to be statistically significant if o is very small, if the sample size is very large, or both.
b. No, it is not possible for a small effect with no practical relevance or importance to be statistically significant if u is very small, if the sample size is very small, or both.
c. Yes, it is possible for a small effect with no practical relevance or importance to be statistically significant if o is very large, especially if the sample size is small.
d. No, it is not possible for a small effect with no practical relevance or importance to be statistically significant if o is very small, more so if the sample size is very large.

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