# Weighting Data

### Student Objectives for this Chapter

- To understand why all data are not equal
- To understand measures of data accuracy and how they relate to weighting
- To understand how to use different weighting schemes
- To understand why different weighting schemes might be used

Not all data are the same. Not even data values within an experiment or set are the same. I don't mean the same value that is obvious but the uncertainty or error in the data. Each data point has a specified measured value but for that value to have any meaning we must also know the uncertainty or error in the data value. An estimate of the standard deviation or variance. In this way we have an estimate of the precision of the data value. When these data are modeled the measure of uncertainty should be included in the analysis. This uncertainty is expressed by means of a weight (or emphasis) given to each data point.

return to the Course index

This page was last modified: Tuesday, 24th Oct 2017 at 6:06 pm

Privacy Statement - 25 May 2018

Material on this website should be used for Educational or Self-Study Purposes Only

iBook and pdf versions of this material and other PK material is available

Copyright © 2001-2019 David W. A. Bourne (david@boomer.org)