Monday 13 September 2010

[H154.Ebook] PDF Ebook Statistics Without Tears: A Primer for Non-Mathematicians (Allyn & Bacon Classics Edition), by Derek Rowntree

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

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



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

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

This classic book uses words and diagrams, rather than formulas and equations, to help readers understand what statistics is, and how to think statistically. It focuses on the ideas behind statistics only; readers are not required to perform any calculations.

CONTENTS of STATISTICS WITHOUT TEARS

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.

  • Sales Rank: #191106 in Books
  • Published on: 2003-06-29
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.00" h x .40" w x 6.00" l, .76 pounds
  • Binding: Paperback
  • 208 pages

From the Back Cover

An ideal introduction to statistics in any field.

This text uses words and diagrams, rather than formulas and equations, to help students from all subject areas understand what statistics is, and how to think statistically. The author uses a question-and-answer presentation style to help students learn on their own. Statistics Without Tears focuses on the ideas behind statistics only; students are not required to perform any calculations.

Most helpful customer reviews

2 of 2 people found the following review helpful.
Step One in Statistics Should Be This Book
By Thomas H. Pyle
For an online graduate degree, I'm taking a statistics course. Learning statistics is hard enough. Learning it online, a mostly autodidactic experience, is even harder. Learning it from today's textbooks, with their narcissistic references to authors' personal lives, inane examples of esoteric biological functions, or comic-style avatars in sidebars, is harder still.

Where can a confused student go for a concise summary of the essence of statistics, without the puerile examples to whale sperm counts or the painful mind-numbing slitherings through thorny thickets of complex math? Where can one find a sanctuary of simple statistics sanity?
I reviewed all the Idiots and Dummies guides. I paged through thick, course-paged workbooks. I scanned the "Everything You Ever Wanted to Know..." tomes. I was nearly out of luck. But then I found a little pot of gold: Statistics Without Tears--A Primer for Non-Mathematicians, by Derek Rowntree.

Copyrighted in 1981, this gem has stood the test of time. It is refreshingly devoid of fatuous, flimsy inanity. There are no personal psychological detours or campy sidebars. This compact text delivers what you should know about statistics before you take the course. Instead of Greek math symbols, it teaches with simple graphics and intuitive insights. Lightly spiced with humor, its clear and simple language is as refreshing as mountain spring water. It employs a gentle, respectful Socratic pedagogy of questions every few pages to make sure the reader is keeping up. For auditory learners who like to read text aloud, the book speaks in the warm voice of a wise uncle patiently relating all you need to know as you can most easily know it. Rowntree give us all this---and then... a bonus! He gets it all done in fewer than 200 compact, concise, uncluttered pages. It's a statistics book you can absorb in a day!

All statistics teachers, especially online ones, should consider assigning this book before more technically difficult material. If they would, those reading this book should significantly, both statistically and practically (and with a very tight confidence interval and low standard error...), learn and achieve more in statistics---a subject that, thanks to Derek Rowntree, I now know is actually simpler than most statisticians make it out to be.

1 of 1 people found the following review helpful.
If You've Been Frustrated by Statistics
By Rabid Rodney
I can't understand the negative reviews. I majored in mathematics and have read multiple books on statistics and found them frustrating. This book wonderfully outlines the "big ideas" and what is trying to be accomplished. This allows you to venture into other books to figure out the details. I guess if you already understand how a normal curve is arrived at and how sample populations would be used and compared to the normal curve, and how the mean sample tend towards the normal distribution and how error is determined, then this book isn't for you. Otherwise it's a superb introductory text.

1 of 1 people found the following review helpful.
finally something useful
By dave
I am a real idiot; i took 3 courses about stats at uni (psychology...); only after reading this book I found answers to some of the questions every teacher had considered to easy to be addressed. I am still quite unable to think in statistical way but I really don't understand why at uni no one spoke to us the way this author does. If it must be introductory, it must start from "outside" a sharp mathematical approach: and this book seems really made thinking to a reader that is not sharp nor smart enough at math: like me eheh.

See all 12 customer reviews...

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