Provides a one-sample hypothesis test. The test assumes that the underlying population is normal and furthermore that \(\sigma\) is known.
Usage
one.sample.z(data = NULL, null.mu = 0, xbar = NULL, sigma, n = NULL,
alternative = "two.sided", conf = 0.95)
Value
Returns a test statistic and a p-value.
Arguments
data
A vector of quantitative data. Not required if xbar and n are supplied by the user.
null.mu
The expectation for the null distribution.
xbar
Sample mean. Not required if is.null(data)==FALSE
sigma
The null distribution standard deviation
n
The sample size. Not required if is.null(data)==FALSE
alternative
Type of test. One of three must be specified "two.sided", "less", or "greater"
conf
Confidence level.
Author
Ken Aho
Details
The function can use either raw data is.null(data)==FALSE or summarized data if is.null(data)==TRUE. With the later xbar and n must be specified by the user.