Elements of statistical reasoning
This carefully paced text presents fundamental material for the first course in statistics without sacrificing clarity or depth of understanding. Relates statistical theory to the realities of research and illustrates concepts with specific examples. Appendixes include a math review and numerous worked problems.
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analysis of variance answer average calculate centile rank central tendency chapter class interval compute consider Construct cumulative percentage frequency degrees of freedom dependent samples described determine deviation scores difference distribution of means equal exact limits example Explain extreme scores factors fall formula frequency distribution frequency polygon graph height histogram history midterm illustrated important interval width level of significance mean and standard measure of central measure of variability median midpoint mode normal curve normal distribution null hypothesis obtained ogive pairs performance possible predictive error probability Problem procedures Professor Abelard's proportion quency question raw score relative frequency distribution sample mean sample results sampling distribution sampling variation scale scatter diagram score limits score point Section selected semiinterquartile range set of scores shown in Figure skewed distributions standard deviation standard error standard score statistical inference Suppose Table test scores tion trial zero