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

 
9786130338510: Variance: Probability Theory, Statistics, Random Variable, Probability Distribution, Absolute Deviation, Standard Deviation, Root Mean Square Deviation, Covariance, Observational Error
Couverture souple
ISBN 10 : 6130338511 ISBN 13 : 9786130338510
Editeur : Betascript Publishing, 2010

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).

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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).

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Betascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6130338511
ISBN 13 
9786130338510
Reliure
Broché
Nombre de pages
120
Éditeur
Surhone Lambert M., Timpledon Miriam T., Marseken Susan F.
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

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

Edition présentée

ISBN 10 :  613033527X ISBN 13 :  9786130335274
Editeur : Betascript Publishing, 2010
Couverture souple