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Standard error of a mean (point estimate)

Source: R/diagnostics.R
se_mean.Rd

sd(x) / sqrt(n), the sampling error of a mean such as an average 1-5 rating. Packages the inline sem calculation from the report appendix.

Usage

se_mean(x)

Arguments

x

A numeric vector. NA values are ignored.

Value

A single numeric standard error, or NA if fewer than two non-missing values are present.

Details

The standard error of the mean is the sample standard deviation divided by the square root of the (non-missing) sample size, sd(x) / sqrt(n). It shrinks as the sample grows, and is the basis of the margin of error you quote for an average rating. Fewer than two values gives NA (no spread to estimate).

See also

se_prop(), rse(), margin_of_error(), diagnose().

Other diagnostics: diagnose(), margin_of_error(), precision_summary(), rse(), rse_rating(), se_prop()

Examples

se_mean(c(4, 5, 3, 4, 5, 2, 4))
#> [1] 0.404061