Goodreads helps you keep track of books you want to read.

Start by marking “The Design of Experiments” as Want to Read:

# The Design of Experiments

Chapters

1. Introduction

2. The principles of experimentation, illustrated by a psycho-physical experiment

3. A historical experiment on growth rate

4. An agricultural experiment in randomised blocks

5. The latin square

6. The factorial design in experimentation

7. Confounding

8. Special cases of partial confounding

9. The increase of precision by concomitant measurements. Statisti ...more

1. Introduction

2. The principles of experimentation, illustrated by a psycho-physical experiment

3. A historical experiment on growth rate

4. An agricultural experiment in randomised blocks

5. The latin square

6. The factorial design in experimentation

7. Confounding

8. Special cases of partial confounding

9. The increase of precision by concomitant measurements. Statisti ...more

8th, 245 pages

Published
1960
by Oliver and Boyd

## Friend Reviews

To see what your friends thought of this book,
please sign up.

## Reader Q&A

To ask other readers questions about
The Design of Experiments,
please sign up.

Be the first to ask a question about The Design of Experiments

This book is not yet featured on Listopia.
Add this book to your favorite list »

## Community Reviews

(showing 1-35)

There are no discussion topics on this book yet.
Be the first to start one »

Sir Ronald Aylmer Fisher was an English statistician, evolutionary biologist, geneticist, and eugenicist.

Among other things, Fisher is well known for his contributions to statistics by creating ANOVA (analysis of variance), Fisher's exact test and Fisher's equation.

More about Ronald A. Fisher...
Among other things, Fisher is well known for his contributions to statistics by creating ANOVA (analysis of variance), Fisher's exact test and Fisher's equation.

## Share This Book

No trivia or quizzes yet. Add some now »

“The value for which P=0.05, or 1 in 20, is 1.96 or nearly 2; it is convenient to take this point as a limit in judging whether a deviation ought to be considered significant or not. Deviations exceeding twice the standard deviation are thus formally regarded as significant. Using this criterion we should be led to follow up a false indication only once in 22 trials, even if the statistics were the only guide available. Small effects will still escape notice if the data are insufficiently numerous to bring them out, but no lowering of the standard of significance would meet this difficulty.”
—
1 likes

More quotes…