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Statistics Without Tears: A Primer for Non-Mathematicians (Allyn & Bacon Classics Edition)

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Title: Statistics Without Tears: A Primer for Non-Mathematicians (Allyn & Bacon Classics Edition)
by Derek Rowntree
ISBN: 0-205-39509-0
Publisher: Pearson Allyn & Bacon
Pub. Date: 19 June, 2003
Format: Paperback
Volumes: 1
List Price(USD): $30.60
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Average Customer Rating: 4.23 (13 reviews)

Customer Reviews

Rating: 4
Summary: A great leap in understanding statistics but at a price
Comment: I just read this book, although I originally purchased the it a number of years ago. I'm afraid my "math anxiety" kept me from reading it although my desire to conquer this stuff remained. Finally, working on a PhD I was again faced with quantitative methods which set me to the task again.

Reading this text non-stop was relatively painless and exceedingly enlightening. Rowntree at least 95% of the material very clear and understandable and avoided too many side trips to the theoretical. Suddenly, the information I was confronted with in class began to make sense given his "down-to-earth" explanations. However, he doesn't stray far from the theoretical and mathematical roots of the science of probability.

He takes the reader from the point of understanding we all do statistical analysis informally regardless of any coursework. From there, he proceeds through the fundamentals until reaching the essence of correlation and regression.

My first of two critiques would be that he leaves out some basic symbols in favor of simplicity. Yet these symbols could easily have remained in. This would have aided the transition from understanding to classroom work. Second, the price for the volume is extraordinary. The price is a clear disincentive. Although the knowledge is easily worth [more money], I'm afraid this reduces the number of readers for an extremely valuable primer.

Rating: 5
Summary: The price is good compared to the time I saved
Comment: I've always regretted not taking a stats course in college (I'm a computer software developer) and have been looking for a book to teach myself. My goal was to be able to apply statistics to everyday life, so I could better see through the ways that the media, politicians, and special interest groups try to twist numbers around.

I've borrowed a couple of college stats books from friends, and I must say I'm glad I never took the class in college. I finally found this book and it was perfect. If you figure the hourly cost of your time, this book is good compared to the amount of time you'd have to spend elsewhere trying to get just a basic grasp of this incredibly important subject. Heck, don't tell anyone, but I'd gladly pay $500 for this book...

Rating: 5
Summary: Contents of the Book
Comment: (The "Search Inside the Book" feature was not available for this book at the time this review was posted)

One of the things that help me decide whether or not to buy a book is the table of contents. I hope the information below is useful.

Introduction.
How to use this book.

1. Statistical inquiry.
Making sense of experience.
What is statistics?
Descriptive and inferential statistics.
Collecting a sample.

2. Describing our sample.
Statistical variables.
Error, accuracy and approximations.

3. Summarizing our data.
Tables and diagrams.
Central tendency (averages).
Measures of dispersion.

4. The shape of a distribution.
Skewed distributions.
Introducing the normal distribution.
Proportions under the normal curve.
Comparing values.

5. From sample to population.
Estimates and inferences.
The logic of sampling.
A distribution of sample-means.
Estimating the population-mean.
Estimating other parameters.

6. Comparing samples.
From the same or different populations?
Significance testing.
The significance of significance.
Comparing dispersions.
Non-parametric methods.

7. Further matters of significance.
One- versus two-tailed tests.
z-tests and t-tests.
Comparing several means.
Comparing proportions.

8. Analysing relationships.
Paired values.
Three kinds of correlation.
The strength of a correlation.
The significance of a correlation coefficient.
Interpreting a correlation coefficient.
Prediction and regression.

Postscript.
Review.
Caution.

Bibliography.

Index.

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