OneTwoSamples (version 1.1-0)

interval_estimate4: 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)

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.

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.

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_estimate4(x, sigma = 0.2, side = -1)
interval_estimate4(x, side = 1)