interval_estimate3

Compute the two sided interval estimation of <code>mu</code> of one non-normal sample with large sample size when the population variance is known or unknown.

We introduce an R function
one_two_sample() which can deal with one and two (normal)
samples, Ying-Ying Zhang, Yi Wei (2012) <doi:10.2991/asshm-13.2013.29>.
For one normal sample x, the function reports
descriptive statistics, plot, interval estimation and test of
hypothesis of x. For two normal samples x and y, the function
reports descriptive statistics, plot, interval estimation and
test of hypothesis of x and y, respectively. It also reports
interval estimation and test of hypothesis of mu1-mu2 (the
difference of the means of x and y) and sigma1^2 / sigma2^2
(the ratio of the variances of x and y), tests whether x and y
are from the same population, finds the correlation coefficient
of x and y if x and y have the same length.

Frederic Bertrand

OneTwoSamples

Deal with One and Two (Normal) Samples

Ying-Ying Zhang (Robert)

interval_estimate3 function

<dl> <dt>x</dt>
<dd>A numeric vector.</dd> <dt>sigma</dt>
<dd>The standard deviation of the population. <code>sigma&gt;=0</code> indicates it is known, <code>sigma&lt;0</code> indicates it is unknown. Default to unknown standard deviation.</dd> <dt>alpha</dt>
<dd>The significance level, a real number in [0, 1]. Default to 0.05. 1-alpha is the degree of confidence.</dd></dl>

Arguments

Ying-Ying Zhang (Robert) <a href="/link/robertzhangyying%40qq.com?package=OneTwoSamples&version=1.1-0" data-mini-rdoc="OneTwoSamples::robertzhangyying@qq.com">robertzhangyying@qq.com</a>

Author

Two sided interval estimation of mu of one non-normal sample with large sample size — interval_estimate3

<dl>

 <dt>x</dt>
<dd>A numeric vector.</dd>

 <dt>sigma</dt>
<dd>The standard deviation of the population. <code>sigma&gt;=0</code> indicates it is known, <code>sigma&lt;0</code> indicates it is unknown. Default to unknown standard deviation.</dd>

 <dt>alpha</dt>
<dd>The significance level, a real number in [0, 1]. Default to 0.05. 1-alpha is the degree of confidence.</dd>

</dl>

Ying-Ying Zhang (Robert) <a href='mailto:robertzhangyying@qq.com'>robertzhangyying@qq.com</a>

interval_estimate3: Two sided interval estimation of `mu` of one non-normal sample with large sample size

Description

Usage

Value

Arguments

Author

References

Examples