OneTwoSamples (version 1.1-0)

interval_estimate1: 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)

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.

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.

Author

Ying-Ying Zhang (Robert)

References

Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, 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)