ABSTRACT
Two kinds of statistical inference problems exist: hypothesis testing and interval estimation. For a quarantine treatment to be acceptable, it must attain probit 9 efficacy, a survival rate of no more than 32 treated stages per million. The classical and popular factorial experiments have the disadvantage that the total number of runs increases rapidly as the number of factors increases. Simple linear regression analysis is the study of the relationship between a dependent variable y and an independent variable x. A very common problem in quarantine research is the estimation of dose-mortality relationships. The relative potency of two treatments is defined as the ratio of equally effective doses and can be obtained analytically or graphically. If the tolerance distribution is lognormal instead of normal, the doses will have to be transformed into logarithms in order to achieve linearity.
