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Sampling Theory Experimental Design and Analysis of Variance
11 other sections not shown
analysis of variance apply association assumptions bivariate normal cell chi-square class intervals cluster sampling CM CM CM column computational consider correlation coefficient curvilinear degrees of freedom deviations discuss E. S. Pearson equal error terms estimated regression line example expected frequencies experiment F test factors function given groups independent variable inferences interaction effects joint distribution Kolmogorov-Smirnov test large samples linear model linear regression matrix mean square multiple regression nonlinear normal distribution number of observations p-value pairs parameters particular Pearson x2 population distribution possible predicted value probability pxy2 random variables random-effects model rank regression curve regression model regression problems sample mean sampling distribution sampling plan scatter diagram scores Section simple random sampling SS total statistical statistician stratified sampling sum of squares Suppose test the hypothesis tion treatment effects type of packaging x2 test zero