z.conf: Confdidence interval for mean using z-distribution
In liver: Foundations Toolkit and Datasets for Data Science
z.conf R Documentation
Confdidence interval for mean using z-distribution
Description
Compute a confidence interval for the mean of a response variable using the z-distribution.
Usage
z.conf(x, sigma = NULL, conf = 0.95)
Arguments
x
a (non-empty) numeric vector of data values.
sigma
the population standard deviation. If NULL, the sample standard deviation is used. This is useful when the population standard deviation is known, otherwise it should be left as NULL.
conf
confidence level of the interval.
Value
A vector with two values: lower and upper confidence limits for the mean of the response variable.
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
Examples
data(churn)
z.conf(x = churn$customer.calls, conf = 0.9)
liver documentation built on Aug. 22, 2025, 1:08 a.m.
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| z.conf | R Documentation |
Confdidence interval for mean using z-distribution
Description
Compute a confidence interval for the mean of a response variable using the z-distribution.
Usage
z.conf(x, sigma = NULL, conf = 0.95)
Arguments
x |
a (non-empty) numeric vector of data values. |
sigma |
the population standard deviation. If |
conf |
confidence level of the interval. |
Value
A vector with two values: lower and upper confidence limits for the mean of the response variable.
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
Examples
data(churn)
z.conf(x = churn$customer.calls, conf = 0.9)
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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