Smu: Standard Deviation Estimator when the Population Mean is...
In LearningStats: Elemental Descriptive and Inferential Statistics
Description
Usage
Arguments
Details
Value
Examples
Description
Smu computes a estimation of the standard deviation, given a sample x with known mean (denoted by mu).
Usage
1
Smu(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 standard deviation estimator
when the population mean (denoted by μ) is known can be computed as S_μ=√{\frac{1}{n}∑_{i=1}^n (x_i-μ)^2}.
Value
A single numerical value corresponding with the standard deviation 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
Smu computes a estimation of the standard deviation, given a sample x with known mean (denoted by mu).
Usage
1 | Smu(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 standard deviation estimator when the population mean (denoted by μ) is known can be computed as S_μ=√{\frac{1}{n}∑_{i=1}^n (x_i-μ)^2}.
Value
A single numerical value corresponding with the standard deviation 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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