Abstract
The paper reviews the contribution which statistics and statisticians can make to the design of experiments and the analysis of experimental results in biology and medicine. An account is given of the principles of factorial experiments, in which, with maximum economy of experimentation, information may be obtained on the main effects of a number of individual factors as well as their interactions in an experimental system.The planning of experiments from the point of view of the number of observations necessary to obtain the required information is discussed, particular reference being made to the advantages and disadvantages of the sequential method of planning.Common errors and misunderstandings in the study of regression and correlation and the use of significance testing are described and discussed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
