Applied Statistics - Principles and ExamplesRoutledge, 2018 M02 19 - 192 pages This book should be of interest to senior undergraduate and postgraduate students of applied statistics. |
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aircraft analysis of variance applications approximately assumptions batch blood pressure bobbins calculated cauliflowers coefficients comparison components confidence interval confidence limits considerations contrasts degrees of freedom derived response Description of data Equation estimated standard error Example explanatory variables exponential distribution factor Factorial experiment frequency distribution Further points gamma distributions given in Table gives important independent individual interest interpretation investigation involved judges large numbers least-squares linear model main effects measured methods normally distributed null hypothesis obtained order statistics particular patients plots points and exercises Poisson possible precision prediction presentation of conclusions probabilistic procedure proportions qualitative random variation reasonable regression Related reference relevant residual mean square response variable sample sets of data setting stations significance tests simple specific standard deviation standard error statistical analysis sum of squares summarized systematic variation techniques temperature transformation treatment type of housing unknown parameters versus yarn yield