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An Introduction to Statistical Methods and Data Analysis
Statistics is a thought process. In this comprehensive introduction to statistical methods and data analysis, the process is presented utilizing a four-step approach: 1) gathering data, 2) summarizing data, 3) analyzing data, and 4) communicating the results of data analyses.
1152 pages, Hardcover
First published March 1, 1984
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Displaying 1 - 6 of 6 reviews
January 9, 2021
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.
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.
March 20, 2022
A very good textbook that's is well worth getting.
April 10, 2023
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.
January 4, 2025
I did not have fun
May 29, 2010
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.
January 27, 2016
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.
Displaying 1 - 6 of 6 reviews




