Introduction to the Practice of Statistics Ninth Edition – Ebook PDF Version – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 1319013384
• ISBN-13 ‏ : ‎ 978-1319013387
• Author:  W.H. Freeman

Introduction to the Practice of Statistics (IPS), 9th edition, by David S. Moore, George P. McCabe, and Bruce A. Craig shows students how to produce and interpret data from real-world contexts—doing the same type of data gathering and analysis that working statisticians in all kinds of businesses and institutions do every day. With this phenomenally successful approach originally developed by David Moore and George McCabe, statistics is more than just a collection of techniques and formulas. Instead, students develop a systematic way of thinking about data, with a focus on problem-solving that helps them understand statistical concepts and master statistical reasoning.

Table contents:

• Chapter 1: Looking at Data—Distributions
  • 1.1: Data
  • 1.2: Displaying Distributions with Graphs (5)
  • 1.3: Describing Distributions with Numbers (15)
  • 1.4: Density Curves and Normal Distributions (20)
  • 1: Exercises (7)
  • 1: Extra Problems (31)
• Chapter 2: Looking at Data—Relationships
  • 2.1: Relationships
  • 2.2: Scatterplots (3)
  • 2.3: Correlation (5)
  • 2.4: Least-Squares Regression (13)
  • 2.5: Cautions about Correlation and Regression (4)
  • 2.6: Data Analysis for Two-Way Tables (3)
  • 2.7: The Question of Causation (2)
  • 2: Exercises (6)
  • 2: Extra Problems (27)
• Chapter 3: Producing Data
  • 3.1: Sources of Data
  • 3.2: Design of Experiments
  • 3.3: Sampling Design (7)
  • 3.4: Ethics
  • 3: Exercises (9)
  • 3: Extra Problems (14)
• Chapter 4: Probability: The Study of Randomness
  • 4.1: Randomness
  • 4.2: Probability Models (12)
  • 4.3: Random Variables (8)
  • 4.4: Means and Variances of Random Variables (14)
  • 4.5: General Probability Rules (16)
  • 4: Exercises (6)
  • 4: Extra Problems (9)
• Chapter 5: Sampling Distributions
  • 5.1: Toward Statistical Inference
  • 5.2: The Sampling Distribution of a Sample Mean (12)
  • 5.3: Sampling Distributions for Counts and Proportions (14)
  • 5: Exercises (8)
  • 5: Extra Problems (26)
• Chapter 6: Introduction to Inference
  • 6.1: Estimating with Confidence (7)
  • 6.2: Tests of Significance (10)
  • 6.3: Use and Abuse of Tests (2)
  • 6.4: Power and Inference as a Decision (4)
  • 6: Exercises (12)
  • 6: Extra Problems (15)
• Chapter 7: Inference for Means
  • 7.1: Inference for the Mean of a Population (14)
  • 7.2: Comparing Two Means (9)
  • 7.3: Additional Topics on Inference (2)
  • 7: Exercises (13)
  • 7: Extra Problems (24)
• Chapter 8: Inference for Proportions
  • 8.1: Inference for a Single Proportion (11)
  • 8.2: Comparing Two Proportions (3)
  • 8: Exercises (11)
  • 8: Extra Problems (25)
• Chapter 9: Inference for Categorical Data
  • 9.1: Inference for Two-Way Tables (2)
  • 9.2: Goodness of Fit (3)
  • 9: Exercises (7)
  • 9: Extra Problems (21)
• Chapter 10: Inference for Regression
  • 10.1: Simple Linear Regression (4)
  • 10.2: More Detail about Simple Linear Regression (4)
  • 10: Exercises (14)
  • 10: Extra Problems (17)
• Chapter 11: Multiple Regression
  • 11.1: Inference for Multiple Regression (4)
  • 11.2: A Case Study
  • 11: Exercises (26)
  • 11: Extra Problems (8)
• Chapter 12: One-Way Analysis of Variance
  • 12.1: Inference for One-Way Analysis of Variance (6)
  • 12.2: Comparing the Means (4)
  • 12: Exercises (19)
  • 12: Extra Problems (19)
• Chapter 13: Two-Way Analysis of Variance
  • 13.1: The Two-Way ANOVA Model
  • 13.2: Inference for Two-Way ANOVA
  • 13: Exercises (21)
  • 13: Extra Problems (6)
• Chapter 14: Logistic Regression
  • 14.1: The Logistic Regression Model (5)
  • 14.2: Inference for Logistic Regression
  • 14: Exercises (13)
• Chapter 15: Nonparametric Tests
  • 15.1: The Wilcoxon Rank Sum Test (8)
  • 15.2: The Wilcoxon Signed Rank Test (2)
  • 15.3: The Kruskal-Wallis Test
  • 15: Exercises
• Chapter 16: Bootstrap Methods and Permutation Tests
  • 16.1: The Bootstrap Idea
  • 16.2: First Steps in Using the Bootstrap (6)
  • 16.3: How Accurate Is a Bootstrap Distribution?
  • 16.4: Bootstrap Confidence Intervals (2)
  • 16.5: Significance Testing Using Permutation Tests (2)
  • 16: Exercises
• Chapter 17: Statistics for Quality: Control and Capability
  • 17.1: Processes and Statistical Process Control (4)
  • 17.2: Using Control Charts
  • 17.3: Process Capability Indexes (2)
  • 17.4: Control Charts for Sample Proportions (2)
  • 17: Exercises
  • 17: Extra Problems (18)