An Introduction to Statistical Methods and Data Analysis, 6th Edition

Ott and Longnecker’s AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.

Table of Contents

PART 1 Introduction
CHAPTER 1 Statistics and the Scientific Method

PART 2 Collecting Data
CHAPTER 2 Using Surveys and Experimental Studies to Gather Data

PART 3 Summarizing Data
CHAPTER 3 Data Description
CHAPTER 4 Probability and Probability Distributions

PART 4 Analyzing Data, Interpreting the Analyses, and Communicating Results
CHAPTER 5 Inferences about Population Central Values
CHAPTER 6 Inferences Comparing Two Population Central Values
CHAPTER 7 Inferences about Population Variances
CHAPTER 8 Inferences about More Than Two Population Central Values
CHAPTER 9 Multiple Comparisons
CHAPTER 10 Categorical Data
CHAPTER 11 Linear Regression and Correlation
CHAPTER 12 Multiple Regression and the General Linear Model
CHAPTER 13 Further Regression Topics
CHAPTER 14 Analysis of Variance for Completely Randomized Designs
CHAPTER 15 Analysis of Variance for Blocked Designs
CHAPTER 16 The Analysis of Covariance
CHAPTER 17 Analysis of Variance for Some Fixed-, Random-, and Mixed-Effects Models
CHAPTER 18 Split-Plot, Repeated Measures, and Crossover Designs
CHAPTER 19 Analysis of Variance for Some Unbalanced Designs