Applied Statistical Inference with MINITAB, Second Edition

Oversized hardcover, xvii + 478 pages, NOT ex-library. Interior is clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Boards show gentle shelfworn marks and scratches. Issued without a dust jacket. -- Contents: 1 Introduction [What is Statistics?; What This Book Is About; Summary Tables and Graphical Displays; Descriptive Representations of Data; Inferential Statistics; Populations; Different Ways to Collect Data; Types & Scales of Variables; Types of Analyses; Entering Data into Minitab; Best Practices] 2 Graphs and Charts [Introduction; Frequency Distributions and Histograms; Using Minitab to Create Histograms; Stem-and-Leaf Plots; Using Minitab to Create Stem-and-Leaf Plots; Bar Charts; Using Minitab to Create a Bar Chart; Boxplots; Using Minitab to Create Boxplots; Scatter Plots; Using Minitab to Create Scatter Plots; Marginal Plots; Using Minitab to Create Marginal Plots; Matrix Plots; Using Minitab to Create a Matrix Plot; Best Practices] 3 Descriptive Representations of Data and Random Variables [Descriptive Statistics; Measures of Central Tendency; Measures of Variability; Using Minitab to Calculate Descriptive Statistics; More on Statistical Inference; Discrete Random Variables; Sampling Distributions; Continuous Random Variables; Standard Normal Distribution; Non-Standard Normal Distributions; Other Discrete and Continuous Probability Distributions; Binomial Distribution; Poisson Distribution; t-Distribution; Chi-Square Distribution; F-Distribution; Using MINTIAB to Graph Probability Distributions] 4 Statistical Inference for One Sample [Introduction; Confidence Intervals; Using Minitab to Calculate Confidence Intervals for a Population Mean; Hypothesis Testing: A One-Sample t-Test for a Population Mean; Using Minitab for a One-Sample t-Test; Power Analysis for a One-Sample t-Test; Using Minitab for a Power Analysis for a One-Sample t-Test; Confidence Intervals and Hypothesis Tests for One Proportion; Using Minitab for a One-Sample Proportion; Power Analysis for a One-Sample Proportion; Confidence Intervals and Hypothesis Tests for One-Sample Variance; Confidence Intervals for One-Sample Variance; Hypothesis Tests for One-Sample Variance; Using Minitab for One-Sample Variance; Power Analysis for One-Sample Variance; Confidence Intervals for One-Sample Count Data; Using Minitab to Calculate Confidence Intervals for a One-Sample Count Variable; Hypothesis Test for a One-Sample Sample Count Variable; Using Minitab to Conduct a Hypothesis Test for a One-Sample Count Variable; Using Minitab for a Power Analysis for a One-Sample Poisson; A Note About One- and Two-Tailed Hypothesis Tests] 5 Statistical Inference for Two-Samples [Introduction; Confidence Interval for the Difference between Two Means; Using Minitab to Calculate a Confidence Interval for the Difference between Two Means; Hypothesis Tests for the Difference between Two Means; Using Minitab to Test the Difference between Two Means; Using Minitab to Create an Interval Plot; Using Minitab for a Power Analysis for a Two-Sample t-Test; Paired Confidence Interval and t-Test; Using Minitab for a Paired Confidence Interval and t-Test; Differences Between Two Proportions; Using Minitab for Two-Sample Proportion Confidence Intervals and Hypothesis Tests; Power Analysis for a Two-Sample Proportion; Confidence Intervals and Hypothesis Tests for Two Variances; Using Minitab for Testing Two Sample Variances; Power Analysis for a Two-Sample Variances; Confidence Intervals and Hypothesis Tests for Two Count Variables; Using Minitab for a Two-Sample Poisson; Power Analysis for a -Sample Poisson Rate; Best Practices] 6 Simple Linear Regression 7 More on Simple Linear Regression 8 Multiple Regression Analysis 9 More on Multiple Regression 10 Analysis of Variance (ANOVA) 11 Nonparametric Statistics 12 Two Way Analysis of Variance and Basic Time Series.…