【簡介】 　Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. 　　This text contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. 【目錄】 PART I: INTRODUCTION Ch 1 The Nature of Statistics PART II: DESCRIPTIVE STATISTICS Ch 2 Organizing Data Ch 3 Descriptive Measures PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS Ch 4 Probability Concepts Ch 5 Discrete Random Variables∗ Ch 6 The Normal Distribution Ch 7 The Sampling Distribution of the Sample Mean PART IV: INFERENTIAL STATISTICS Ch 8 Confidence Intervals for One Population Mean Ch 9 Hypothesis Tests for One Population Mean Ch 10 Inferences for Two Population Means Ch 11 Inferences for Population Standard Deviations∗ Ch 12 Inferences for Population Proportions Ch 13 Chi-Square Procedures PART V: REGRESSION, CORRELATION, AND ANOVA Ch 14 Descriptive Methods in Regression and Correlation Ch 15 Inferential Methods in Regression and Correlation Ch 16 Analysis of Variance (ANOVA) PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA∗∗ MODULE A: Multiple Regression Analysis MODULE B: Model Building in Regression MODULE C: Design of Experiments and Analysis of Variance