Introductory Statistics: Concepts, Models, and Applications
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|David W. Stockburger; Southwest Missouri State University|
|A searchable Web text with associated exercises. Contents include: A Mayoral Fantasy; Does caffeine make people more alert?; Models; The language of algebra; Measurement; Frequency distributions; Comparing frequency distributions; Grouped frequency distributions; Models of distributions; The normal curve; The summation sign; Statistics; Score transformations; Linear transformations; Regression models; Correlation; Hypothesis testing; The sampling distribution; Testing hypotheses about single means; Experimental designs; Analysis of crossed designs; Nested t-tests; The t distribution; One and two-tailed t-tests; Errors in hypothesis testing; ANOVA; Chi-square and tests of contingency tables; Testing a single correlation; Normal curve areas; Critical values for the t distribution; Critical values for correlation coefficients; Critical values for the F distribution; Bibliography and Web resources; Scatterplot exercises; Sampling distribution; and Simulation exercises.|
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