What Is Statistics -- Tabular And Pictorial Methods For Describing Data : Types Of Variables And Data -- Stem-and-leaf Displays -- Frequency Distributions -- Histograms -- From Samples To Populations -- Transforming Data For Ease Of Description -- Mumerical Summary Measures : Measuring The Center Of A Data Set -- Measuring Variability In A Data Set -- Describring And Summarizing A Distribution -- Summarizing Bivariate Data : Scatter Plots -- Correlation -- Fitting A Line To Bivariate Data -- Assessing The Fit Of A Line -- Transforming Data To Straighten A Plot And Fit A Curve -- Probababilit And Probability Distributions : Probability -- Random Variables And Probability Distributions -- The Mean Value And Standard Deviation Of A Random Variable -- The Normal Distribution -- The Binomial Distribution -- Sampling Distributions : Statistics And Random Samples -- The Sampling Distribution Of X -- General Rules Concerning The Sampling Distribution Of X -- The Sampling Distribution Of A Sample Proportion -- Estimating A Population Characteristic -- Interval Estimation Using A Single Sample : A Large-sample Confidence Interval For A Population Mean -- A Small-sample Confidence Interval For A Mean Of A Normal Population -- A Large-sample Confidence Interval For A Population Proportion -- Hypothesis Testing Using A Single Sample : Hypotheses And Test Procedures -- Errors In Hypothesis Testing -- Large-sample Hypothesis Tests For A Population Mean -- P-values -- Small-sample Hypothesis Tests For The Mean Of A Normal Population -- Large-samle Hypothesis Tests For A Population Proportion -- Type Ii Error Probabilities For Selected Tests -- Inferences Using Two Different Samples : The Sampling Distribution Of A Difference -- Large-sample Inferences Concerning A Differnce Between Two Population Means -- Small-sample Inferences Concerning A Difference Between Two Normal Population Means -- Large-sample Inferences Concerning A Difference Between Two Population Proportions -- Distribution-free Procedures For Inferences Concerning A Difference Between Two Population Means -- Inference Using Paired Data : Pairing Versus Independent Samples -- Inferences Concerning A Difference Between Two Population Means -- Distribution-free Procedures For Inferences Concerning A Difference Between Two Population Means -- Simple Linear Regression And Correlation : The Simple Linear Regression Model -- Inferences Concerning The Slope Of The Population Regression Line -- Inferences Based On The Estimated Regression Line -- Inferences Concerning The Population Correlation Coefficient -- Checking Model Adequacy -- Multiple Regression Analysis : Multiple Regression Models -- Fitting A Model And Assesing Its Utility -- Inferences Based On An Estimated Model -- Other Issues In Multiple Regression -- The Analysis Of Variance : Single Factor Anova And The F Test -- Anova Copmutations -- Multiple Comparisons -- The F Test For A Randomized Block Experiment -- Two-factor Anova - Distribution-free Anova -- The Analysis Of Categorical Data And Goodness-of-fit Methods : Summarizing Categorical Data Using One- And Two-way Frequency Tables -- Hypothesis Testing Using A One-way Frequency Table -- Hypothesis Testing Using A Two-way Frequency Table -- Goodness-of-fit Tesets For A Population Model. Jay Devore, Roxy Peck. Text On Endpapers. Includes Bibliographical References And Index.

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