Stats: Data and Models, 3rd Canadian Edition

Complete eTextbook Content:
Part I Exploring and Understanding Data
1 Stats Starts Here
2 Displaying and Describing Categorical Data
3 Displaying and Summarizing Quantitative Data
4 Understanding and Comparing Distributions
5 The Standard Deviation as a Ruler and the Normal Model
Part I Review: Exploring and Understanding Data
Part II Exploring Relationships Between Variables
6 Scatterplots, Association, and Correlation
7 Linear Regression
8 Regression Wisdom
Part II Review Exploring Relationships Between Variables
Part III Gathering Data
9 Sample Surveys
10 Experiments and Observational Studies
Part III Review: Gathering Data
Part IV Randomness and Probability
11 From Randomness to Probability
12 Probability Rules!
13 Random Variables
Part IV Review: Randomness and Probability
Part V From the Data at Hand to the World at Large
14 Sampling Distribution Models
15 Confidence Intervals for Proportions
16 Testing Hypotheses About Proportions
17 More About Tests
18 Inferences About Means
Part V Review: From the Data at Hand to the World at Large
Part VI Assessing Associations Between Variables
19 Comparing Means
20 Paired Samples and Blocks
21 Comparing Two Proportions
22 Comparing Counts
23 Inferences for Regression
Part VI Review: Assessing Associations Between Variables
Part VII Modelling the World at Large
24 Analysis of Variance
25 Multifactor Analysis of Variance
26 Multiple Regression
27 Multiple Regression Wisdom
Part VII Review Inference When Variables Are Related
Part VIII Distribution-free Methods
28 Nonparametric Tests
29 The Bootstrap (online only)

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Name: Stats: Data and Models, 3rd Canadian Edition
Author: Richard D. De Veaux, Paul F. Velleman, David E. Bock, Augustin M. Vukov, Augustine Wong
Edition: 3
ISBN-10: 0134301056
ISBN-13: 978-0134301051
Type: eTextbook

This is a eBook for the actual textbook of Stats: Data and Models, 3rd Canadian Edition, by De Veaux, Velleman, Bock, Vukov, Wong.

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