Variance: Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error - Softcover
Synopsis
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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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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Variance
Published by
VDM Verlag Dr. Müller E.K. Jan 2010, 2010
ISBN 10: 6130338511
ISBN 13: 9786130338510
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! 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). Englisch. Seller Inventory # 9786130338510
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Variance : Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error
Published by
VDM Verlag Dr. Müller E.K., 2010
ISBN 10: 6130338511
ISBN 13: 9786130338510
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! 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). Seller Inventory # 9786130338510
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Variance | Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error
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Taschenbuch. Condition: Neu. Variance | Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130338510 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101384915