asbio (version 1.6-1)

one.sample.t: 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, n = NULL, 
alternative = "two.sided", conf = 0.95)

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.

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.

See Also

pt

Examples

# NOT RUN {
one.sample.t(null.mu = 131, xbar = 126, sd = 12, n = 85, 
alternative = "two.sided")
# }