mean2test.plot: Hypothesis Test for the Difference of Two Means

In tjssu/Rstat: Basic Statistical Methods in R

Description

Hypothesis Test for the Difference of Two Population Means

Usage

mean2test.plot(xb1, xb2, s1, s2, n1, n2, d0 = 0, prng, side = "two",
  pvar = "equal", mt, dig = 4, xlab)

Arguments

xb1	Sample mean of population1 (or sample data)
xb2	Sample mean of population2 (or sample data)
s1	Standard deviation of population1 (optional for unknown variance)
s2	Standard deviation of population2 (optional for unknown variance)
n1	Sample size of population1 (unnecessary if data are given)
n2	Sample size of population2 (unnecessary if data are given)
d0	Difference of two population means under the null hypothesis, Default: 0
prng	Range of x-axis, Default: [d0-4se, d0+4se]
side	Type of the alternative hypothesis, Default: 'two'
pvar	Status of variance (one of "known", "equal", "unequal"), Default: 'equal'
mt	Graph title
dig	Number of digits below the decimal point, Default: 4
xlab	Label of x-axis

Value

None.

Examples

mean2test.plot(xb1=198.5, xb2=201.3, s1=5, s2=5, n1=25, n2=34, pvar="known")
mean2test.plot(xb1=198.5, xb2=201.3, s1=4.8, s2=5.1, n1=25, n2=34, pvar="equal")
mean2test.plot(xb1=198.5, xb2=201.3, s1=2.8, s2=5.5, n1=25, n2=34, pvar="unequal")

x = rnorm(20, 199, 2)
y = rnorm(25, 200, 2)
mean2test.plot(x, y, pvar="equal")

tjssu/Rstat documentation built on Aug. 8, 2020, 12:38 p.m.