View source: R/interval_estimate3.R
interval_estimate3 | R Documentation |
mu
of one non-normal sample with large sample size
Compute the two sided interval estimation of mu
of one non-normal sample with large sample size when the population variance is known or unknown.
interval_estimate3(x, sigma = -1, alpha = 0.05)
x |
A numeric vector. |
sigma |
The standard deviation of the population. |
alpha |
The significance level, a real number in [0, 1]. Default to 0.05. 1-alpha is the degree of confidence. |
A data.frame with variables:
mean |
The sample mean. |
a |
The confidence lower limit. |
b |
The confidence upper limit. |
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
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")}.
x = rexp(50, 1/2); x
interval_estimate3(x)
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