# mnormt.onesided: Bayesian test of one-sided hypothesis about a normal mean In LearnBayes: Functions for Learning Bayesian Inference

## Description

Computes a Bayesian test of the hypothesis that a normal mean is less than or equal to a specified value

## Usage

 `1` ```mnormt.onesided(m0,normpar,data) ```

## Arguments

 `m0` value of the normal mean to be tested `normpar` vector of mean and standard deviation of the normal prior distribution `data` vector of sample mean, sample size, and known value of the population standard deviation

## Value

 `BF` Bayes factor in support of the null hypothesis `prior.odds` prior odds of the null hypothesis `post.odds` posterior odds of the null hypothesis `postH` posterior probability of the null hypothesis

Jim Albert

## Examples

 ```1 2 3 4 5 6``` ```y=c(182,172,173,176,176,180,173,174,179,175) pop.s=3 data=c(mean(y),length(data),pop.s) m0=175 normpar=c(170,1000) mnormt.onesided(m0,normpar,data) ```

LearnBayes documentation built on May 30, 2017, 4:48 a.m.