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.
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
作者：Neil A.Weiss
現職：Arizona State University