**Statistical Treatment of Experimental Data**

by Hugh D. Young

**Publisher**: McGraw Hill 1962**ISBN/ASIN**: 088133913X

**Description**:

Even with a limited mathematics background, readers can understand what statistical methods are and how they may be used to obtain the best possible results from experimental measurements and data. The author describes the physical bases on which statistical theories are developed, and derives from them useful mathematical results and formulas for the evaluation and analysis of experimental data. Special mathematical techniques are explained as they are needed.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Statistics Beyond the Absolute Basics**

by

**Ivan Lowe**-

**scientificlanguage.com**

The book begins by expanding on some of the basic concepts such data types and variables. The basic choice then is between the family of statistics which compares groups, and the family which studies associations or correlations.

(

**1790**views)

**Beginning Statistics**

by

**Douglas S. Shafer, Zhiyi Zhang**-

**lardbucket.org**

This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students. Our motivation for writing it is to provide a low-cost alternative to many existing popular textbooks on the market.

(

**2205**views)

**Linear Regression Using R: An Introduction to Data Modeling**

by

**David R. Lilja**-

**University of Minnesota**

The book presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models.

(

**1881**views)

**Revealing Statistical Principles**

by

**J.K. Lindsey**-

**Hodder Education Publishers**

Written by a renowned statistician, this book presents the basic ideas behind the statistical methods commonly used in studies of human subjects. It is an ideal guide for advanced undergraduates who are beginning to do their own research.

(

**4290**views)