var.mu: Variance estimate of the sample estimate for a normal mean...

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

Calculates the variance estimate of a sample estimate for a normal mean parameter.

Usage

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var.mu(s, n)

Arguments

s

A numeric value, the sample estimate for normal standard deviation.

n

A numeric value, the sample size of data.

Details

For a sample dataset of size n drawn from a normal distributin N(μ,σ^2, denote the sample estimate on the mean parameter and standard deviation parameter as u and s, Then the variance of the sample mean is Var(u)=s^2/n.

Value

A numeric value, the variance of a sample estimate for a normal mean parameter.

Note

Bug reports, malfunctioning, or suggestions for further improvements or contributions can be sent to Jingqin Luo <rosy@wubios.wustl.edu>.

Author(s)

Jingqin Luo

References

Patel, J.K. and Read, C.B. (1996) Handbook of the Normal Distribution. CRC Press.

Luo, J and Xiong, C. (2012) Youden Index and Associated Optimal Cut-point for Three Ordinal Groups. Communications In Statistics-Simulation and Computation (in press).

See Also

var.sigma

Examples

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s <- 1.5
n <- 100
var.mu(s,n)

DiagTest3Grp documentation built on April 14, 2017, 5:53 p.m.