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PART ONE DESCRIPTIVE STATISTICS
PART TWO RATIONALE OF INFERENTIAL STATISTICS
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alpha level appropriate approximately normal average binomial calculations cell central tendency chi-square chosen coefficient of determination column compared comparisons computational formula concepts confidence interval correction for continuity correlation coefficient criterion described dividing equal estimate example expected frequencies experiment F distribution F ratio F value frequency distribution groups hypothesis testing interaction effect involving learned lesson measure median test method multiple normal curve normally distributed null hypothesis obtained one-tail parameter value parentheses positive outcomes possible prediction predictor variables problem procedure provides question random sample random-effects model regression analysis regression lines reject the null relationship represent residuals result sample means sample statistic sampling distribution square root SSbceus standard deviation standard error standard normal curve standard population statistician subtracting sum of squares Suppose table of x2 test population tion total number treatment two-tail Type II error weight zero