PloterrAWD: Plots error, long term power and pass/fail criteria using...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Plots error, long term power and pass/fail criteria using adjusted Wald method

Usage

PloterrAWD(n, alp, h, phi, f)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
h	- Adding factor
phi	- Null hypothesis value
f	- Failure criterion

Details

Plot of adjusted Wald-type interval using error due to the difference of achieved and nominal level of significance for the n + 1 intervals

See Also

Other Error for adjusted methods: PloterrAAS, PloterrAAll, PloterrALR, PloterrALT, PloterrASC, PloterrATW, errAAS, errAAll, errALR, errALT, errASC, errATW, errAWD

Examples

n=20; alp=0.05; h=2;phi=0.99; f=-2
PloterrAWD(n,alp,h,phi,f)

proportion documentation built on May 1, 2019, 7:54 p.m.