By Schuyler W. Huck

ISBN-10: 0805859020

ISBN-13: 9780805859027

ISBN-10: 0805859047

ISBN-13: 9780805859041

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**Additional resources for Statistical Misconceptions**

**Sample text**

A uniform distribution would be the extreme case. 2. A uniform distribution would be the extreme platykurtic case. * When describing distributional shape, the term uniform means the same thing as rectangular. † Appendix B contains references for all quoted material presented in this section. * One reason for this admonition is the fact that deviations from normality in the form of positive or negative kurtosis can disrupt the functioning of various statistical tests. For example, kurtosis can affect tests on means, variances, and covariances.

Internet Assignment Would you like to see some data that are skewed but inconsistent with the common thought that the median lies between the mode and the mean? Would you like to be the one who enters the data into an Internet-based interactive Java applet that will compute these three “average” scores (along with a measure of skewness)? If so, it’s easy to do these things. com/ statistical-misconceptions). ” After doing this, you will ﬁnd detailed instructions (prepared by this book’s author) on how to enter a set of 12 scores into the Java applet.

National Institute of Standards and Technology. ). Measures of skewness and kurtosis. In Engineering statistics handbook (chap. 11). htm. Normal distribution. ). wvu. html. Rhiel, G. S. (2006). Coefﬁcient of variation calculated from the range for skewed distributions. Psychological Reports, 98, 72–78. Stahl, S. (2006). The evolution of the normal distribution. Mathematics Magazine, 79(2), 96–113. Wuensch, K. L. (2007). Skewness, kurtosis, and the normal curve. edu/psyc/wuenschk/d. , & Trapp, A.

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