Stats: Data and Models, Global Edition
Data and Models, Global Edition
5th Edition
Published on 22. January 2021
1026 pages
978-1-292-36232-8 (ISBN)
Description
For courses in Introductory Statistics Encourages statistical thinking using technology, innovative methods, and a sense of humour. Inspired by the 2016 GAISE Report revision, Stats: Data and Models, 5th Edition by De Veaux, Velleman, and Bock uses innovative strategies to help students think critically about data, while maintaining the book's core concepts, coverage, and most importantly, readability.
The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.
The authors make it easier for instructors to teach and for students to understand more complicated statistical concepts later in the course (such as the Central Limit Theorem). In addition, students get more exposure to large data sets and multivariate thinking, which better prepares them to be critical consumers of statistics in the 21st century.
More details
Edition
5th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
ISBN-13
978-1-292-36232-8 (9781292362328)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Richard De Veaux | Richard D. De Veaux | Paul F. Velleman
Stats: Data and Models, Global Edition
Book
04/2021
5th Edition
Pearson Education Limited
€99.49
Shipment within 10-20 days
Content
I: EXPLORING AND UNDERSTANDING DATA
1. Stats Starts Here
2. Displaying and Describing Data
3. Relationships Between Categorical Variables-Contingency Tables
4. Understanding and Comparing Distributions
5. The Standard Deviation as a Ruler and the Normal Model
II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom
9. Multiple Regression
III. GATHERING DATA
10. Sample Surveys
11. Experiments and Observational Studies
IV. RANDOMNESS AND PROBABILITY
12. From Randomness to Probability
13.Probability Rules!
14. Random Variables
15. Probability Models
V. INFERENCE FOR ONE PARAMETER
16. Sampling Distribution Models and Confidence Intervals for Proportions
17. Confidence Intervals for Means
18. Testing Hypotheses
19. More About Tests and Intervals
VI. INFERENCE FOR RELATIONSHIPS
20. Comparing Groups
21. Paired Samples and Blocks
22. Comparing Counts
23. Inferences for Regression
VII. INFERENCE WHEN VARIABLES ARE RELATED
24. Multiple Regression Wisdom
25. Analysis of Variance
26. Multifactor Analysis of Variance
27. Statistics and Data Science
1. Stats Starts Here
2. Displaying and Describing Data
3. Relationships Between Categorical Variables-Contingency Tables
4. Understanding and Comparing Distributions
5. The Standard Deviation as a Ruler and the Normal Model
II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES
6. Scatterplots, Association, and Correlation
7. Linear Regression
8. Regression Wisdom
9. Multiple Regression
III. GATHERING DATA
10. Sample Surveys
11. Experiments and Observational Studies
IV. RANDOMNESS AND PROBABILITY
12. From Randomness to Probability
13.Probability Rules!
14. Random Variables
15. Probability Models
V. INFERENCE FOR ONE PARAMETER
16. Sampling Distribution Models and Confidence Intervals for Proportions
17. Confidence Intervals for Means
18. Testing Hypotheses
19. More About Tests and Intervals
VI. INFERENCE FOR RELATIONSHIPS
20. Comparing Groups
21. Paired Samples and Blocks
22. Comparing Counts
23. Inferences for Regression
VII. INFERENCE WHEN VARIABLES ARE RELATED
24. Multiple Regression Wisdom
25. Analysis of Variance
26. Multifactor Analysis of Variance
27. Statistics and Data Science
