What is the relationship between effect size and sample size ? - when the effect size is small large sample are needed, -when the effect size is large,large samples are needed, -regardless of effect size,large sample are generally necessary, -effect size and sample size are dependent on level power

Davirnoilc 2022-11-20 Answered
What is the relationship between effect size and sample size ?
- when the effect size is small large sample are needed
- when the effect size is large,large samples are needed
- regardless of effect size,large sample are generally necessary
- effect size and sample size are dependent on level power
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Answers (1)

Brooklyn Mcintyre
Answered 2022-11-21 Author has 18 answers
Put: X = log ( α α + β ) = log ( 1 1 + β α )
Then working in terms of X will ensure that the logarithm is always well defined. You then need to define another independent variable Y such that a linarization of Y in terms of small changes in α and β does not become almost linearly dependent on the way the change in X depends on small changes in α and β. Since X depends on the ratio of α and β, you can choose Y to be a function of the product of α and β, so:
Y = α β
might work well, at least you'll have elminated two potential problems with Newton-Raphson.
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