aas_estima_media: Estimate the population mean under simple random sampling...

In sampleone: Survey Sampling Methods for Teaching and Practice

Estimate the population mean under simple random sampling (AAS)

Description

Estimates the population mean from a simple random sample, with or without replacement, together with its variance and a confidence interval. Corresponds to Eqs. (3.4)-(3.7) (with replacement, AASc) and (3.25)-(3.28.1) (without replacement, AASs) of the course notes.

Usage

aas_estima_media(x, N = NULL, reposicao = c("sem", "com"), conf = 0.95, ...)

Arguments

x	Numeric vector with the sample data.
N	Optional population size. If NULL or Inf, the population is treated as unknown/very large (the finite-population correction 1 - n/N is dropped, i.e. f = 0), which also makes the "com" ("with replacement") and "sem" ("without replacement") results coincide.
reposicao	Either "sem" (without replacement, AASs – the default and the usual case in practice) or "com" (with replacement, AASc).
conf	Confidence level, default 0.95.
...	Ignored (see package overview on tolerated extra arguments).

Value

A sampling_result object with the estimated mean, its variance, coefficient of variation, and confidence interval.

References

Cochran, W.G. (1977). Sampling Techniques, 3rd ed. Wiley. Bolfarine, H.; Bussab, W.O. (2005). Elementos de Amostragem. Edgard Blucher.

Examples

aas_estima_media(c(12, 30, 18), N = 3, reposicao = "com")

sampleone documentation built on Oct. 13, 2026, 5:07 p.m.