Elementary statistical methods in psychology and education
Some remarks about the nature of behavior science data; The frequency distribution; Percentile ranks and percentiles; Symbolic representation of data; Indexes of location or central tendency; Measures of variability; Linear transformation; Introduction to some probability concepts; The normal probability distribution; Introduction to sampling theory; Testing statistical hypotheses: the classical hypothesis testing procedure; Sampling theory as it applied to difference between means and proportions: large samples; Interval estimation; Some small-sample theory and its application; Introduction to bayesian inference; Correlation; The prediction problem; Sampling-error theory for simple linear regression.
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Some Remarks About the Nature
The Frequency Distribution
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A'-score actual apply approximately assigned assume Bayesian beta distribution binomial probability distribution bivariate chapter compute consider correlation corresponding course critical region determine difference distance dots equal estimate example experience pool experimental fact follows formula frequency distribution Hence histogram illustrate index of variability indicates individuals interpretation involved linear transformation magnitude mean measures median normal curve normally distributed number of scores obtained outcome parameter particular percent confidence interval percentile rank population possible prediction probability distribution probability values problem procedure proportion random sample random variable regression relative frequency distribution represent result Rule sample points sample space sampling distribution scatter diagram score scale score value Section selected set of scores simply situation skewed Solution specific squares standard deviation standard error standard scores statement statistical hypothesis student subpopulation superintendent Suppose symbol techniques test statistic theory true Type I error units variance y-scores z-value zero