Variance: Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error - Brossura

 
9786130338510: Variance: Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In probability theory and statistics, the variance of a random variable or distribution is the expected, or mean, value of the square of the deviation of that variable from its expected value or mean. Thus the variance is a measure of the amount of variation within the values of that variable, taking account of all possible values and their probabilities or weightings (not just the extremes which give the range). For example, a perfect dice, when thrown, has expected value (1+2+3+4+5+6)/6 = 3.5, expected absolute deviation 1.5 (the mean of the equally likely absolute deviations (3.5−1, 3.5−2, 3.5−3, 4−3.5, 5−3.5, 6−3.5), giving 2.5, 1.5, 0.5, 0.5, 1.5, 2.5, but expected square deviation or variance of 35/12 ≈ 2.9 (the mean of the equally likely squared deviations 1/4, 9/4, and 25/4).

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9786130335274: Variance: Variance, Probability Theory, Statistics, List of Fields of Application of Statistics, Mathematical Statistics, Central Limit Theorem, Statistical Mechanics

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ISBN 10:  613033527X ISBN 13:  9786130335274
Casa editrice: Betascript Publishing, 2010
Brossura