interval_estimate4: Two sided or one sided interval estimation of 'mu' of one...

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

Two sided or one sided interval estimation of mu of one normal sample

Description

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

Usage

interval_estimate4(x, sigma = -1, side = 0, 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.
side	A parameter used to control whether to compute two sided or one sided interval estimation. When computing the one sided upper limit, input side = -1; when computing the one sided lower limit, input side = 1; when computing the two sided limits, input side = 0 (default).
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_estimate4(x, sigma = 0.2, side = -1)
interval_estimate4(x, side = 1)

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