Research Methods 2


Topic 6: Introduction to Standard Errors
(Week 6)

Aims

To understand that how good a sample mean is as an estimate of the population mean depends on sample size.  Also to understand how this idea might be quantified.

Objectives

To be able to explain what the distribution of a sample mean is and to explain qualitatively how it changes with the size of the sample.

To understand how the precision with which a sample mean estimates a population mean can be quantified by measuring the spread of the distribution of sample means, using a collection of many samples.

To know that the SD of the distribution of sample means is called the Standard Error (SE) and that this is an appropriate measure of precision of the sample mean

To know the correct formula for estimating a standard error from a single sample.


This week there is only one document to be studied and one exercise sheet.  You will be studying the issue of how well a sample mean performs as an estimator of the population mean and seeing how this is affected by sample size.  You will also study how the standard error quantifies this aspect of a sample mean and how to calculate it.

Further reading on the topics addressed this week can be found in Bland, sections 1 and 2 of chapter 8

There is no formal assessment this week.