meanSampCutoff: Mean sample size and cutoff

In clayford/nandc: Sample Size and Critical Region Calculations (n and c)

Description

Given type I error, type II error, standard deviation, null mean, and alternative mean, return cutoff (critical region boundary) and sample size.

Usage

meanSampCutoff(alpha, beta, null, alt, sd, direction = c("greater", "less"))

Arguments

alpha	Type I error
beta	Type II error
null	the null mean value
alt	the alternative mean value
sd	standard deviation of null and alternative distributions
direction	"greater" (default) or "less"

Value

Cutoff (critical region boundary) and sample size given type I error, type II error, standard deviation, null mean, and alternative mean.

References

Hogg, R. V. and Tanis, E. A. (2006), Probability and Statistical Inference 7e, Pearson, New Jersey. Chapter 9.1.

Examples

# example 9.1-2
meanSampCutoff(a = 0.025,b = 0.05,null = 60,alt = 65,sd = 10)
# problem 9.1-5
meanSampCutoff(a = 0.05,b = 0.05,null = 1.5,alt = 1.7,sd = sqrt(0.09))
# problem 9.1-7
meanSampCutoff(a = 0.05,b = 0.10,null = 715,alt = 650,sd = 140, direction = "less")

clayford/nandc documentation built on May 13, 2019, 7:38 p.m.