Computes an adjusted Wald interval for a population proportion with a
finite population correction (fpc). This confidence interval is useful
when the sample size is not a small fraction of the population size.
Usage
ci.prop.fpc(alpha, f, n, N)
Arguments
- alpha
alpha level for 1-alpha confidence
- f
number of participants who have the attribute
- n
sample size
- N
population size
Value
Returns a 1-row matrix. The columns are:
Estimate - adjusted estimate of proportion
SE - adjusted standard error with fpc
LL - lower limit of the confidence interval with fpc
UL - upper limit of the confidence interval with fpc
Examples
ci.prop.fpc(.05, 12, 100, 400)
#> Estimate SE LL UL
#> 0.1346154 0.0290208 0.07773565 0.1914951
# Should return:
# Estimate SE LL UL
# 0.1346154 0.0290208 0.07773565 0.1914951