one.sample.z {asbio} | R Documentation |
One sample z-test
Description
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)
Arguments
data |
A vector of quantitative data. Not required if |
null.mu |
The expectation for the null distribution. |
xbar |
Sample mean. Not required if |
sigma |
The null distribution standard deviation |
n |
The sample size. Not required if |
alternative |
Type of test. One of three must be specified |
conf |
Confidence level. |
na.rm |
Logical, indicate whether |
fpc |
A logical statement specifying whether a finite population correction should be made. If |
N |
The population size. Required if |
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.
Value
Returns a test statistic and a p-value.
Author(s)
Ken Aho. Thanks to Anderson Canteli for identifying a bug in the function for asbio versions < 1.9-6.
See Also
Examples
one.sample.z(null.mu = 131, xbar = 126, sigma = 12, n = 85, alternative = "two.sided")