normtest.plot: Plot the PDF of Test Statistic under the Normal Distribution

In adoocavo/Rstat_M1: Basic Statistical Methods in R

Plot the PDF of Test Statistic under the Normal Distribution

Description

Plot the PDF of Test Statistic under the Normal Distribution

Usage

normtest.plot(md, mu0 = 0, se = 1, prng = c(-4, 4), side = "two",
  xlab = "Sample Mean", pvout = TRUE)

Arguments

md	Difference of sample means or test statistic
mu0	Difference of population means under the null hypothesis, Default: 0
se	Standard error of the difference of sample means, Default: 1
prng	Range of x-axis, Default: c(-4, 4)
side	Type of the alternative hypothesis, Default: 'two'
xlab	Label of x-axis, Default: 'Sample Mean'
pvout	Print p-value? Default: TRUE

Value

None.

Examples

normtest.plot(11.5-10.4, se=sqrt(2.2/20+2.4/25))
normtest.plot(1.93, xlab="Test Statistic")

adoocavo/Rstat_M1 documentation built on March 19, 2022, 3:34 a.m.