Pooled Variance

Pooled Variance

Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-6-1305-1084-8
Объём: 80 страниц
Масса: 141 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

High Quality Content by WIKIPEDIA articles! In statistics, many times, data is collected for a dependent variable, y, over a range of values for the independent variable, x. For example, the observation of fuel consumption might be studied as a function of engine speed while the engine load is held constant. If, in order to achieve a small variance in y, numerous repeated tests are required at each value of x, the expense of testing may become prohibitive. Reasonable estimates of variance can be determined by using the principle of pooled variance after repeating each test at a particular x only a few times. Pooled variance is a method for estimating variance given several different samples taken in different circumstances where the mean may vary between samples but the true variance (equivalently, precision) is assumed to remain the same. It is calculated by s_p^2=frac{sum_{i=1}^k((n_i - 1)s_i^2)}{sum_{i=1}^k(n_i - 1)} or with simpler notation, s_p^2=frac{(n_1 - 1)s_1^2+(n_2 - 1)s_2^2+cdots+(n_k - 1)s_k^2}{n_1+n_2+cdots+n_k - k}

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.