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 = c("two.sided", "lower", "upper"))
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", "lower", or "upper"
Value
Returns a test statistic and a p-value.
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.