An Introduction to Statistical Methods and Data Analysis

by R. Lyman Ott, Michael T. Longnecker

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.Important Media content referenced within the product description or the product text may not be available in the ebook version.

Genres: Textbooks, Mathematics, Education, Science

1296 pages, Kindle Edition

First published March 1, 1984

Reviews

[Pranjal Singh · Rating 4 out of 5]

I used this book heavily and it helped me get an A so listen up (muahahahaha, evil laugh):

Granted that this book is a tome. But I had to read through the first four chapters to get oriented in statistics (my undergrad was in Mech Engg and this was a graduate course in Stats dept.). I struggled a lot in the beginning not because the concepts were difficult but because they were not well organized and connected - the course organization was not clear at beginning. The book helped get started on that. During later chapters on confidence intervals, population proportions, hypothesis testing etc., several concepts got needed over and over and THIS simple strategy of organization of statistical concepts from the outset was the key thing that helped. Otherwise, I would be spending a lot of time over and over trying to rediscover the concept as some students were doing in study sessions. I left the study sessions after first one because I realized the book is really good. And well, I love books more than people! ❤️

See full review (with chapter-wise status updates) here.

P.S. The one star down in rating is because despite the brilliance of the book, it was written as if someone would learn ALL of statistics from just the book. It could easily have been 1/3rd the thickness.

[Arthursaurus_lentils · Rating 4 out of 5]

A very good textbook that's is well worth getting.

[Roy Madrid · Rating 3 out of 5]

Covers all major topics you'd need to know, but the examples designed to help you understand the concepts are hit/miss. Good for the math, but you may get lost in the numbers.

[Vitaly Vogelman · Rating 3 out of 5]

I did not have fun

[Rusty · Rating 4 out of 5]

This was a textbook used in a graduate statistics class I took at Kansas State University. It's a good book providing you have had some undergraduate statistics courses.

[Rachel · Rating 3 out of 5]

It seemed like a really well-organized book, great for referencing. We didn't use it very much, however, because the teacher was so thorough, herself. I'm definitely keeping it, though.