error_me: Calculate Margin of Error at given confidence level

In southwick-associates/sastats: Calculate Statistics

Description

This is particularly useful for constructing confidence intervals.

Usage

error_me(std_error, confidence = 0.95)

Arguments

std_error	numeric: Estimated standard error
confidence	numeric: Confidence level (0 < confidence < 1). This default is approximately equal to std_error * 1.96

References

http://en.wikipedia.org/wiki/Margin_of_error

See Also

Other functions for estimating sampling error: error_se_mean(), error_se_prop()

Examples

# maximum margin of error (proportion) for N=100: 9.8%
std_error <- error_se_prop(0.5, 100)
error_me(std_error)

# margin of error for mean
x <- rlnorm(50, 3)
summary(x)
std_error <- error_se_mean(x)
error_me(std_error)

southwick-associates/sastats documentation built on March 27, 2020, 9:39 p.m.