mean2.ci: CI for the Difference of Two Means

In adoocavo/Rstat_M1: Basic Statistical Methods in R

CI for the Difference of Two Means

Description

Confidence Interval for the Difference of Two Population Means

Usage

mean2.ci(xb1, xb2, s1, s2, n1, n2, pvar = "equal", alp = 0.05,
  dig = 4)

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)
pvar	Status of variance (one of "known", "equal", "unequal"), Default: 'equal'
alp	Level of significance, Default: 0.05
dig	Number of digits below the decimal point, Default: 4

Value

None.

Examples

mean2.ci(xb1=198.5, xb2=201.3, s1=5, s2=5, n1=25, n2=34, pvar="known")
mean2.ci(xb1=198.5, xb2=201.3, s1=4.8, s2=5.1, n1=25, n2=34, pvar="equal")
mean2.ci(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)
mean2.ci(x, y, pvar="equal")

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