one.sample.t: One sample t-test

In asbio: A Collection of Statistical Tools for Biologists

One sample t-test

Description

Provides a one-sample hypothesis test. The test assumes that the underlying population is normal.

Usage

one.sample.t(data = NULL, null.mu = 0, xbar = NULL, sd = NULL, 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 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
sd	The sample standard deviation. Not required if is.null(data)==FALSE
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

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 Samuel Hale for identifying a function bug.

See Also

pt

Examples

one.sample.t(null.mu = 131, xbar = 126, sd = 12, n = 85, 
alternative = "two.sided")

asbio documentation built on May 29, 2024, 5:57 a.m.