Statistical Methods for Research Workers (ISBN 0-05-002170-2) is a classic 1925 book on statistics

Statistics

Statistics is the study of the collection, organization, analysis, and interpretation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments....

 by the statistician R.A. Fisher

Ronald Fisher

Sir Ronald Aylmer Fisher FRS was an English statistician, evolutionary biologist, eugenicist and geneticist. Among other things, Fisher is well known for his contributions to statistics by creating Fisher's exact test and Fisher's equation...

. It is considered by some to be one of the 20th century's most influential books on statistical methods. According to ,

Ronald A. Fisher was "interested in application and in the popularization
of statistical methods and his early book Statistical Methods for Research Workers, published in 1925, went through many editions and
motivated and influenced the practical use of statistics in many fields of
study. His Design of Experiments (1935) [promoted] statistical technique and application. In that book he
emphasized examples and how to design experiments systematically from
a statistical point of view. The mathematical justification of the methods
described was not stressed and, indeed, proofs were often barely sketched
or omitted altogether ..., a fact which led H. B. Mann

Henry Mann

Henry Berthold Mann was a professor of mathematics and statistics at Ohio State University. Mann proved the Schnirelmann-Landau conjecture in number theory, and as a result earned the 1946 Cole Prize. He and his student developed the U-statistic of nonparametric statistics...

 to fill the gaps with a rigorous mathematical treatment in his well known treatise, ."

Chapters

• Prefaces

1. Introduction
2. Diagram
   Diagram
   A diagram is a two-dimensional geometric symbolic representation of information according to some visualization technique. Sometimes, the technique uses a three-dimensional visualization which is then projected onto the two-dimensional surface...
   
   s
3. Distributions
   Probability distribution
   In probability theory, a probability mass, probability density, or probability distribution is a function that describes the probability of a random variable taking certain values....
   
   
4. Tests of Goodness of Fit
   Goodness of fit
   The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question. Such measures can be used in statistical hypothesis testing, e.g...
   
   , Independence
   Statistical independence
   In probability theory, to say that two events are independent intuitively means that the occurrence of one event makes it neither more nor less probable that the other occurs...
   
    and Homogeneity
   Homoscedasticity
   In statistics, a sequence or a vector of random variables is homoscedastic if all random variables in the sequence or vector have the same finite variance. This is also known as homogeneity of variance. The complementary notion is called heteroscedasticity...
   
   ; with table of χ²
5. Tests of Significance
   Statistical significance
   In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. The phrase test of significance was coined by Ronald Fisher....
   
    of Means, Difference of Means, and Regression Coefficients
6. The Correlation Coefficient
   Pearson product-moment correlation coefficient
   In statistics, the Pearson product-moment correlation coefficient is a measure of the correlation between two variables X and Y, giving a value between +1 and −1 inclusive...
   
   
7. Intraclass Correlation
   Intraclass correlation
   In statistics, the intraclass correlation is a descriptive statistic that can be used when quantitative measurements are made on units that are organized into groups. It describes how strongly units in the same group resemble each other...
   
   s and the Analysis of Variance
   Analysis of variance
   In statistics, analysis of variance is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation...
   
   
8. Furthern Applications of the Analysis of Variance
   • SOURCES USED FOR DATA AND METHODS INDEX

In the second edition of 1928 a chapter 9 was added: The Principles of Statistical Estimation.

Further reading

• The March 1951 issue of the Journal of the American Statistical Association contains articles celebrating the 25th anniversary of the publication of the first edition.

• A.W.F. Edwards (2005) "R. A. Fisher, Statistical Methods for Research Workers, 1925," in I. Grattan-Guinness (ed) Landmark Writings in Western Mathematics: Case Studies, 1640-1940, Amsterdam: Elsevier.

External links

• Text of first edition
• Nature review of Fisher’s Statistical Methods
• BMJ review of Fisher’s Statistical Methods
• Student’s review of Fisher’s Statistical Methods
• Egon Pearson
  Egon Pearson
  Egon Sharpe Pearson, CBE FRS was the only son of Karl Pearson, and like his father, a leading British statistician....
  
  ’s reviews of Fisher’s Statistical Methods
• Harold Hotelling
  Harold Hotelling
  Harold Hotelling was a mathematical statistician and an influential economic theorist.He was Associate Professor of Mathematics at Stanford University from 1927 until 1931, a member of the faculty of Columbia University from 1931 until 1946, and a Professor of Mathematical Statistics at the...
  
  ’s review of Fishers’ Statistical Methods
• Leon Isserlis
  Leon Isserlis
  Leon Isserlis was a Russian-born British statistician known for his work on the exact distribution of sample moments, including Isserlis’ theorem...
  
  ’s review of Fishers’ Statistical Methods
• Leonard Savage re-Reading Fisher
• The 14th edition (prepared from notes left by Fisher when he died in 1962) is reprinted as the first part of Statistical Methods, Experimental Design and Scientific Inference