By Schuyler W. Huck
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Additional info for Statistical Misconceptions
The second statement comes from a recent government document disseminated by the State of Western Australia. The third statement comes from an online book dealing with human genetics. ) 1. 00. 2. 0. 3. 0. Why This Misconception Is Dangerous Certain statistical summaries are interpretable only if we know the range of possible values for the summary. For example, a percentage will land on a continuum that extends from 0 to 100. 0. If we did not know these maximum high and low values, interpreting a percentage, stanine, or probability would be impossible.
Org/ wiki/Misuse_of_statistics. 1 The Shape of the Normal Curve The Misconception The normal curve is bell shaped. 1. 1 A normal curve. Evidence That This Misconception Exists* The ﬁrst of the following statements comes from a book dealing with psychology, the second statement comes from a book dealing with biostatistics, and the third statement comes from an online document for educational researchers. 1. A normal curve is bell-shaped, with a large number of scores in the middle, tapering to very few extremely high or low scores.
With the standard deviation, however, deviation scores are always measured as distances from the mean. , scores that lie far away from the data * Appendix B contains references for the quoted material presented in this section. indd 15 9/26/08 10:16:55 PM 16 Statistical Misconceptions set’s center). Such scores are intended to impact the value of SD more than the value of AD. The standard deviation and the average deviation also differ computationally. For most sets of data wherein at least two scores differ, SD ≠ AD.
Statistical Misconceptions by Schuyler W. Huck