Introduction to the Practice of Statistics [with CrunchIT/EESEE Access Code & LaunchPad 12-Months Access Code]

by David S. Moore

This Guide offers students explanations of crucial concepts in each section of IPS, plus detailed solutions to key text problems and stepped-through models of important statistical techniques.

Genres: Textbooks, Nonfiction, Reference, Mathematics, School, Education, Engineering

718 pages, Unbound

First published February 1, 1989

About the author

Librarian Note: There is more than one author by this name in the Goodreads database.

David S. Moore is (retired) Shanti S. Gupta Distinguished Emeritus Professor of statistics at Purdue University (Lafayette, IN).

Reviews

[Maline · Rating 1 out of 5]

please it can't be that hard to print the fucking formulas right

[Adrian · Rating 4 out of 5]

Useful intro reader. Clear examples and plenty of exercises.

[Ben · Rating 4 out of 5]

I enjoyed this!

My wife was cleaning our book shelf and this one she had kept from her university courses, so I thought I would give it a go!

Pretty good read.

3.9/5

[Cady · Rating 1 out of 5]

The language/terminology used in this textbook is incredibly outdated in regards to gender identity. Zero stars.

[jade · Rating 2 out of 5]

Introduction to the Practice of Statistics: w Student CD is a very, very basic book on statistics, and though it is a very clear book and neatly presents all useful formulas in the field, it completely ignores any theoretical explanation or proof that could probably be given for the statistical formulas that it attempts to cover. And if it does try to give some background on why certain formulas are devised in the ways they are, it goes off into lengthy texts without any literal mathematical backup in the shape of numbers/formulas/equations.

Now, of course, this might be an easy way for some students to learn the very basics of statistics. It’s easy to go through, and as I said before, it’s a very clear book and it does hold a lot of useful, basic information on statistics. It’s accessible to many beginning students, and it presents its content in such a way that even students with a limited mathematical background will probably be able to answer the corresponding statistical exercises correctly. However, its lack of underlying structure and explanations of statistical formulas can lead to problems later on, when the students using this book move on to more advanced classes. (I know it most certainly hindered me in fully understanding just exactly how statistics actually work.)

The book does provide the readers with many statistical problems to solve, which are varied and can also be solved via software such as SPSS. There are data sets on the CD too, including a few extra chapters, which seem to do better on the explaining side of things than the book itself. And the book can of course be also used as a work of reference by those already somewhat educated in statistics, since it has a very clear layout, providing an easy way of looking things up.

There are, however, two other problems that I have with this book content-wise: first and foremost, this book doesn’t recognize the difference between continuous and discrete variables, and it doesn’t split its statistical methods up between the two. This can, like I said before, lead to a lot of problems once students encounter more complex problems that need an understanding of the differences between these two types of variables. The second is the lack of methods used for the correction of Type-I errors in multiple comparisons; only Bonferroni is covered, whereas there are many more. There are more things missing from the chapters on both one- and two-way ANOVA, but let’s not get too much into that.

I would only recommend this book if you’re a true beginner of statistics, with limited mathematical background, and prefer lengthy texts without any mathematical proof or explanation of why a formula is the way it is. Be warned, though, this book could cripple you in the future when you start doing more advanced classes – best to use this book in combination with other basic statistics books, to be safe.

[Maaike · Rating 2 out of 5]

The book is enormous but covers everything and more about the basic of statistics. I liked that there were lots of extra exercises to practise with at the end of each chapter, and that most exercises covered one subject each instead of constantly trying to integrate everything. This made practising a lot easier. I didn't like that the explanations were sometimes vague and the overall lack of readability & sense of humour.

[Dominique · Rating 1 out of 5]

As much as statistics are quite boring in my opinion anyway - this book doesn't explain things very well. It's layout is poor, with tables all over the place making things more difficult than necessary to find

[Mike Edwards · Rating 4 out of 5]

A very basic statistics text book, but this is a very good primer for those without a strong background in mathematics.

[Ke · Rating 4 out of 5]

Though I never used the textbook's CD, I would say that, overall, the book was clear and instructive.

[Maya Dellor · Rating 5 out of 5]

This book is really useful to understand basic concepts and see if you can use certain methods for your task. It's well written and not as dry as most statistics courses.

[Amanda]

Ken Butler's class.

[Roel Peters]

Haha, I finished it!

[Besiana · Rating 4 out of 5]

I used the 8 th edition and it was always helpful.

[Liz · Rating 2 out of 5]

Oy vey.