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, na.rm = FALSE, fpc = FALSE, N = NULL)
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.
na.rm
Logical, indicate whether NA values should be stripped before the computation proceeds.
fpc
A logical statement specifying whether a finite population correction should be made. If fpc = TRUE the population size N must be specified.
N
The population size. Required if fpc=TRUE
Author
Ken Aho. Thanks to Anderson Canteli for identifying a bug in the function for asbio versions < 1.9-6.
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.