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The Measurement Process
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adjusted means alternative hypothesis analysis of variance approximately bivariate calculate categorical variable chapter classified conditional distributions confidence interval control variable corresponding cross-classification denote dependent describe difference equal estimated standard example F test favor Figure formula groups H0 is true independent variables inference interaction interpret interval variables least squares linear ln other words mean income mean ridits measure of association median migrants model E(Y multiple regression model normal distribution null hypothesis observations obtained odds ratios P-value pairs parameter partial correlation partial tables Pearson correlation percentage point estimate population distribution prediction equation printout procedures proportion random sample Refer to Problem regression coefficients regression equation reject H0 relationship represents residuals sample mean sample statistics sampling distribution score Section selected slope squared errors standard deviation standard error statistically independent sum of squares summary Suppose test statistic testing H0 z-score