David S. Moore, William I. Notz, Michael A. Fligner

The Basic Practice of Statistics (International Edition)

• Broschiertes Buch

Produktbeschreibung

Over the years, David Moore's The Basic Practice of Statistics has advanced statistics education by providing students and educators with a text that ¿ focuses on data, including its collection and interpretation ¿ emphasizes practice over theory ¿ engages students by using real data in examples and exercises ¿ facilitates learning through its accessible writing and systematic approach to The ninth edition of BPS emphasizes on the four-step problem-solving process and reaching conclusions based on data, use of current research data from a wide variety of fields, and detailed guidance on using specific statistical analysis software and calculators.

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Produktdetails

• Verlag: Macmillan Learning
• Ninth Edition
• Seitenzahl: 766
• Erscheinungstermin: 29. Januar 2021
• Englisch
• Abmessung: 271mm x 213mm x 25mm
• Gewicht: 1464g
• ISBN-13: 9781319383688
• ISBN-10: 1319383688
• Artikelnr.: 61166303

Autorenporträt

David S. Moore; William I. Notz; Michael Fligner

Inhaltsangabe

Chapter 0 Getting Started
Part I: Exploring Data
Chapter 1 Picturing Distributions with Graphs
Chapter 2 Describing Distributions with Numbers
Chapter 3 The Normal Distributions
Chapter 4 Scatterplots and Correlation
Chapter 5 Regression
Chapter 6 Two-Way Tables
Chapter 7 Exploring Data: Part I Review
Part II: Producing Data
Chapter 8 Producing Data: Sampling
Chapter 9 Producing Data: Experiments
Chapter 10 Data Ethics
Chapter 11 Producing Data: Part II Review
Part III: From Data Production to Inference
Chapter 12 Introducing Probability
Chapter 13 General Rules of Probability
Chapter 14 Binomial Distributions
Chapter 15 Sampling Distributions
Chapter 16 Confidence Intervals: The Basics
Chapter 17 Tests of Significance: The Basics
Chapter 18 Inference in Practice
Chapter 19 From Data Production to Inference: Part III Review
Part IV: Inference about Variables
Chapter 20 Inference about a Population Mean
Chapter 21 Comparing Two Means
Chapter 22 Inference about a Population Proportion
Chapter 23 Comparing Two Proportions
Chapter 24 Inference about Variables: Part IV Review
Chapter 25 Categorical Variables: The Chi-Square Test
Chapter 26 Inference for Regression
Chapter 27 One-Way Analysis of Variance: Comparing Several Means
Part VI: Optional Companion Chapters Available Online
Chapter 28 Nonparametric Tests
Chapter 29 Multiple Regression
Chapter 30 Two-Way Analysis of Variance
Chapter 31 Statistical Process Control
Chapter 32 Resampling: Permutation Tests and the Bootstrap