findroot: find the Z score

In hypothesestest: Confidence Intervals and Tests of Statistical Hypotheses

Description

find the Z score of normal distribution, standard normal distribution, chi-square or t-distribution

Usage

findroot(alpha = 0.05, side = "both", method = "n", n, mu = 0, sigma = 1)

Arguments

alpha	the significance level of the confidence level
side	whether the confidence interval is one or two sides
method	the distribution of the samples follow
n	the amount of the samples
mu	the average of the samples
sigma	the standard deviation of the population

Details

if necessary,please input mu and sigma when the samples don't follow the standard normal distribution

Value

the value return 'z score'(A measure of the distance in standard deviations of a sample from the mean.)

Note

this function can only be used in standard normal dirtribution,standard normal distribution, chi-square and t-distribution. If the samples don't have the standard normal dirtribution, please input mu and sigma.

Author(s)

Chengfeng Liu, Huiqing Liu, Yingyan Liang and Ruibin Feng Maintainer: Chengfeng Liu ([e-mail])

See Also

hypothesis

Examples

##find the z score
findroot(alpha = 0.05, side = "both", method = "n", n=30, mu = 0, sigma = 1)
# 1.959961

hypothesestest documentation built on May 2, 2019, 8:33 a.m.