uniformity trial data together with certain cost assumptions fof potatoes indicate thaf long narrow p-iots are-the mosr efficienr. The basic unit was 4 tt io"" ""a 3 ft wid"e. A minimum of rwo basic units would be necessary for most p"i?tr .t"ai.t with a maximum of slx basic units-depending.upon the,requiremenrs for each experiment, Thus the optimum plot size co.uld range from 3 tt ;ft;-;a a to ts i'c long' Where smallcr size becomes optimum more replicaaio"r "t" tuq"i*a. fotig narrow replicates likewise appeir to be more elficient than either wide or square ones'The loeical analysis and a generalized flow diagram for digital computer calculatio"n of these data are presented.

The CALCULATION and economic interpretation of alternative solutions and sub‐optimal solutions to the transportation problem of linear programming are discussed and illustrated with particular reference to their application in the Soviet wood‐processing industry.

This paper discusses the use of APL both as a mathematical notation and also as a programming language in an introductory course in probability.

Tests of significance based on analysis of variance calculations often require the determination of the probabilities of obtaining values of F greater than those arising from the analysis. These probabilities are customarily obtained from tables of the F -distribution. However, when the calculations are done on a computer, it would be convenient if estimates of these probabilities could be calculated by the analysis of variance program and presented in the output of the results. This note gives a simple method of doing so.

No abstract