1921
Volume 7, Issue 5
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645
USD

Abstract

The limited mathematical preparation of the student and the need for some understanding of the theoretical justification of methods of analysis are the two sides of a dilemma that one has to face in writing a textbook in applied statistics. The student in an applied field is not often accustomed to mathematical manipulations, whereas a pure description of statistical methods may very well turn the book into a collection of recipes. The authors of the second edition of handled this dilemma quite beautifully. Although a student with a meager “knowledge of algebraic addition, subtraction, and multiplication” may not necessarily find all parts of the text easy to follow, most of the arguments are presented with a minimum amount of mathematics but with adequate rationale. The fine treatments of analysis of variance and the Neyman-Pearson theory of testing hypotheses are good examples.

Loading

Article metrics loading...

/content/journals/10.4269/ajtmh.1958.7.574
1958-09-01
2017-09-26
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/journals/10.4269/ajtmh.1958.7.574
Loading

Most Cited This Month

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error