interval_estimate1: Two sided interval estimation of 'mu' of one normal sample

In OneTwoSamples: Deal with One and Two (Normal) Samples

Two sided interval estimation of mu of one normal sample

Description

Compute the two sided interval estimation of mu of one normal sample when the population variance is known or unknown.

Usage

interval_estimate1(x, sigma = -1, alpha = 0.05)

Arguments

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

Value

A data.frame with variables:

mean	The sample mean.
df	The degree of freedom.
a	The confidence lower limit.
b	The confidence upper limit.

Author(s)

Ying-Ying Zhang (Robert) [e-mail]

References

Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2991/asshm-13.2013.29")}.

Examples

x=rnorm(10, mean = 1, sd = 0.2); x
interval_estimate1(x, sigma = 0.2)
interval_estimate1(x)

OneTwoSamples documentation built on March 31, 2023, 11:49 p.m.