An Introduction to Statistical Methods and Data Analysis
By R. Lyman Ott, Michael T. Longnecker
About your course materials
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh 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 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.
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About this product
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh 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 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.
The text emphasizes step-by-step learning and practical skill-building by providing frequent opportunities for students to interpret results and draw conclusions from studies that illustrate key concepts, providing an immediate, effective way to review and apply the material.
A uniquely effective Four-Step Process to Problem-Solving and Understanding the Collected Data, developed by the authors, helps students of all backgrounds master the essentials of statistics by 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.
Computer output from Minitab®, SAS, and SPSS is provided in numerous examples and exercises to familiarize students with the use of more sophisticated graphical illustrations of statistical results.
A special section titled "What is Statistics?" opens the text by explaining why students should study statistics and presenting an engaging discussion of several major studies illustrating the use of statistics to solve a variety of important real-life problems.
Table of contents
Chapters
PART 1: INTRODUCTION.
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