Hypothesis Testing for µ

Contents

Objective  Introduction  Examples 

^ Leaarning Objectives

The Hypotheis Testing for module targets the following cognitive tasks:

Task            Skills	Concepts
HT_mu-1:	Perform a large-sample hypothesis test on ( unknown)	Understand the steps in a large-sample hypothesis test on ( unknown)
HT-mu-2:	Perform a small-sample hypothesis test on ( unknown; normal data)	Understand the steps in a small-sample hypothesis test on ( unknown; normal data)
HT-mu-3:	Perform hypothesis test on ( known; normal data)	Understand hypothesis test on ( known; normal data)
HT-mu-4:	Check the assumptions associated with the above cases	Understand the assumptions associated with the above cases
HT-mu-5:	Implement the p-value and the classical methods for making a decision	Understand the p-value and the classical methods for making a decision
HT-mu-6:	Interpret the results and state the conclusion of a hypothesis test on

^ Introduction

We often want to determine if the population mean (µ) is equal to a specific value.

^ Examples

Example #1 uses data from an Australian school to test a hypothesis about the perceived width of a classroom in meters.

Example #2 (Requires List-Stat)

Self-test