book image
  • ISBN
  • Author(s)
  • Language
  • Publisher
  • Edition
  • Edition

An Introduction to Statistical Methods and Data Analysis notes (1st edition)

Micheal Longnecker, R. Lyman Ott - ISBN: 9781305269477

  • ISBN
  • Author(s)
  • Language
  • Publisher
  • Edition
  • Edition

There are no documents available for An Introduction to Statistical Methods and Data Analysis, written by Micheal Longnecker, R. Lyman Ott. Do you have summaries that match your search result? Upload them now and start earning money for your knowledge.

Why study with the book summaries on Stuvia?

girl_laptop_stairs

Relevance, efficiency and convenience. These are important elements when studying or preparing for a course or exam. Studying with the help of book summaries, which are linked to the ISBN number of your (study) book, is more relevant than ever. Your fellow students or tutors are sharing their knowledge to help you prepare for your exams. Find the ISBN number of your book and you'll be sure to buy the right summary. That way you won't be faced with surprises during your exams.

boy_beanie

All summaries on Stuvia are written by students who have already taken the exam, lecturers who teach the study material or professional publishers. As a result, you can be confident that you will understand the course material more easily and that the summary contains all elements that are tested in the exam. Find the book you need to study by its ISBN and choose the best textbook summary.

Summary An Introduction to Statistical Methods and Data Analysis

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.