S2mu: Variance Estimator when the Population Mean is Known
In LearningStats: Elemental Descriptive and Inferential Statistics
Description
Usage
Arguments
Details
Value
Examples
Description
S2mu computes a estimation of the variance, given a sample x with known population mean (denoted by mu).
Usage
1
S2mu(x, mu)
Arguments
x
a numeric vector containing the sample.
mu
the population mean.
Details
Given \{x_1,…,x_n\} a sample of a random variable, the variance estimator
when the population mean (denoted by μ) is known can be computed as
S^2_μ=\frac{1}{n}∑_{i=1}^n (x_i-μ)^2.
Value
A single numerical value corresponding with the variance estimation when the population mean is known.
Examples
1
2
LearningStats documentation built on April 21, 2021, 9:06 a.m.
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Description Usage Arguments Details Value Examples
Description
S2mu computes a estimation of the variance, given a sample x with known population mean (denoted by mu).
Usage
1 | S2mu(x, mu)
|
Arguments
x |
a numeric vector containing the sample. |
mu |
the population mean. |
Details
Given \{x_1,…,x_n\} a sample of a random variable, the variance estimator when the population mean (denoted by μ) is known can be computed as S^2_μ=\frac{1}{n}∑_{i=1}^n (x_i-μ)^2.
Value
A single numerical value corresponding with the variance estimation when the population mean is known.
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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