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【统计学:数据与模型】 Stats : Data and Models, Second Canadian Edition, 2/E [推广有奖]

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Stats: Data and Models, Second Canadian Edition, 2/E

Richard D. De Veaux, Williams College
Paul F. Velleman, Cornell University
David E. Bock, Cornell University
Augustin M. Vukov, University of Toronto
Augustine Wong, York University

cover.jpg

Unparalleled in its readability and ease of comprehension, Stats: Data and Models, Second Canadian Edition, focuses on statistical thinking and data analysis. Written in an approachable style without sacrificing rigor, this text incorporates compelling examples derived from the authors’ wealth of teaching experience and encourages students to learn how to reason with data. Stats: Data and Models promotes conceptual understanding for applied statistics without overwhelming the reader with tedious calculations and complex mathematics. This Second Canadian Edition has been meticulously updated to include the most relevant and engaging Canadian examples and data.

Table of Contents

PART  I Exploring and Understanding Data
CHAPTER 1  Stats Starts Here
CHAPTER 2  Displaying and Describing Categorical Data
CHAPTER 3  Displaying and Summarizing Quantitative Data
CHAPTER 4  Understanding and Comparing Distributions
CHAPTER 5  The Standard Deviation as a Ruler and the Normal Model
Review of Part I

PART  II Exploring Relationships Between Variables
CHAPTER 6 Scatterplots, Association, and Correlation
CHAPTER 7 Linear Regression
CHAPTER 8 Regression Wisdom
Review of Part II

PART  III Gathering Data
CHAPTER 9  Understanding Randomness
CHAPTER 10 Sample Surveys
CHAPTER 11 Experiments and Observational Studies
Review of Part III

PART  IV Randomness and Probability
CHAPTER 12 From Randomness to Probability
CHAPTER 13 Probability Rules!
CHAPTER 14 Random Variables and Probability Models
Review of Part IV

PART  V From the Data at Hand to the World at Large
CHAPTER 15 Sampling Distribution Models
CHAPTER 16 Confidence Intervals for Proportions
CHAPTER 17 Testing Hypotheses About Proportions
CHAPTER 18 More About Tests
CHAPTER 19 Comparing Two Proportions
Review of Part V

PART  VI Learning About the World
CHAPTER 20 Inferences About Means
CHAPTER 21 Comparing Means
CHAPTER 22 Paired Samples and Blocks
CHAPTER 23 Comparing Counts
Review of Part VI

PART  VII Inference When Variables Are Related
CHAPTER 24 Inferences for Regression
CHAPTER 25 Analysis of Variance
CHAPTER 26 Multifactor Analysis of Variance
CHAPTER 27 Multiple Regression
CHAPTER 28 Multiple Regression Wisdom
Review of Part VII

PART  VIII Inference by Other Means
CHAPTER 29 Rank-Based Nonparametric Tests
CHAPTER 30 The Bootstrap (online only)

Index

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