To compute the logit transformation of each proportion, we use the formula for the logit:
logit ( p ) = ln ( 1 − p p )
where p is the proportion.
For the dose of 2 with a proportion of 0.20:
logit ( 0.20 ) = ln ( 1 − 0.20 0.20 ) = ln ( 0.80 0.20 ) = ln ( 0.25 ) ≈ − 1.386
For the dose of 4 with a proportion of 0.60:
logit ( 0.60 ) = ln ( 1 − 0.60 0.60 ) = ln ( 0.40 0.60 ) = ln ( 1.5 ) ≈ 0.405
For the dose of 6 with a proportion of 0.80:
logit ( 0.80 ) = ln ( 1 − 0.80 0.80 ) = ln ( 0.20 0.80 ) = ln ( 4 ) ≈ 1.386
The main purpose of using a probit transformation in biological assays is to model the relationship between dose and response. Probit analysis assumes that there is a normal distribution of the response to the dose, and the transformation allows us to linearize the dose-response curve. This makes it easier to estimate effective doses, compare different treatments, and understand variations in biological responses effectively.