HSS 2381 Chapter Notes - Chapter 3,11: Type I And Type Ii Errors, Null Hypothesis, Trimean

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Kerry- Ann Hogan

Document Summary

Descriptive statistics: give simple summaries about the sample and the measures; they form the basis of virtually every quantitative analysis of data. Central tendency: provide a single number to characterize a distribution. The point at which the distribution is in balance. 50th percentile (cid:862)m(cid:863) = (cid:373)ea(cid:374) of a sa(cid:373)ple: -by the sum of the absolute deviations is minimized, by the sum of the squared deviations is minimized. The center of the distribution: greatly depended on. The (cid:271)ala(cid:374)(cid:272)e poi(cid:374)t: o(cid:374)e se(cid:374)se of a distri(cid:271)utio(cid:374)"s (cid:272)e(cid:374)ter. Another way of defining center of a distribution. Smallest squared deviation: another way of defining center of a distribution. The most common measures are the mean, the media, and the mode. Arithmetic mean: most common measure of central tendency- the sum of the numbers divided by the number of numbers (cid:862) (cid:863) = mean of a population.