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random variable |
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random variableIn statistics, a function that can take on either a finite number of values, each with an associated probability, or an infinite number of values, whose probabilities are summarized by a density function. Used in studying chance events, it is defined so as to account for all possible outcomes of the event. When these are finite (e.g., the number of heads in a three-coin toss), the random variable is called discrete and the probabilities of the outcomes sum to 1. If the possible outcomes are infinite (e.g., the life expectancy of a light bulb), the random variable is called continuous and corresponds to a density function whose integral over the entire range of outcomes equals 1. Probabilities for specific outcomes are determined by summing probabilities (in the discrete case) or by integrating the density function over an interval corresponding to that outcome (in the continuous case). How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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Each independent canonical variate is a linear combination of conceptually related independent variables (in this case the interrelated skills), and each dependent canonical variate is a linear combination of conceptually related dependent variables (in this case the interrelated outcomes). Only one canonical variate was interpretable and indicated that all four subscales of the Gender Role Conflict Scale appeared inversely and significantly related to Emotional/Informational Support, Affective Support, and Positive Social Interaction. The distribution of the sample multiple correlation coefficient r depends only on the population coefficient R, number of variates M, and the sample size N. |
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