Testing differences between two samples of continuous data
Summary: In this article the circumstances and techniques used to test a hypothesis by comparing information from two random samples to identify possible or existing difference amongst the target population are presented. This is based on continuous data collected from two samples after which a comp...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier Inc
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/24803 |
| _version_ | 1848751530268688384 |
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| author | Pereira, Sandra Leslie, Gavin |
| author_facet | Pereira, Sandra Leslie, Gavin |
| author_sort | Pereira, Sandra |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Summary: In this article the circumstances and techniques used to test a hypothesis by comparing information from two random samples to identify possible or existing difference amongst the target population are presented. This is based on continuous data collected from two samples after which a comparison can be made that may then be generalised to the source population. The terminology of the method is briefly explained including basic concepts such as survey errors and probablistic chance. Hypothesis test methods are described for two types of samples: independent and dependent, and examples of some of the most commonly use test in health research are given for parametric and non-parametric source distributions. Testing difference between two samples of continuous data is an important and frequently applied process of making a decision about the main differences in a population of interest in health research. |
| first_indexed | 2025-11-14T07:54:11Z |
| format | Journal Article |
| id | curtin-20.500.11937-24803 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:54:11Z |
| publishDate | 2010 |
| publisher | Elsevier Inc |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-248032017-09-13T15:56:36Z Testing differences between two samples of continuous data Pereira, Sandra Leslie, Gavin Wilcoxon signed rank test Mann-Whitney U test t-test two samples z-test Summary: In this article the circumstances and techniques used to test a hypothesis by comparing information from two random samples to identify possible or existing difference amongst the target population are presented. This is based on continuous data collected from two samples after which a comparison can be made that may then be generalised to the source population. The terminology of the method is briefly explained including basic concepts such as survey errors and probablistic chance. Hypothesis test methods are described for two types of samples: independent and dependent, and examples of some of the most commonly use test in health research are given for parametric and non-parametric source distributions. Testing difference between two samples of continuous data is an important and frequently applied process of making a decision about the main differences in a population of interest in health research. 2010 Journal Article http://hdl.handle.net/20.500.11937/24803 10.1016/j.aucc.2010.06.002 Elsevier Inc restricted |
| spellingShingle | Wilcoxon signed rank test Mann-Whitney U test t-test two samples z-test Pereira, Sandra Leslie, Gavin Testing differences between two samples of continuous data |
| title | Testing differences between two samples of continuous data |
| title_full | Testing differences between two samples of continuous data |
| title_fullStr | Testing differences between two samples of continuous data |
| title_full_unstemmed | Testing differences between two samples of continuous data |
| title_short | Testing differences between two samples of continuous data |
| title_sort | testing differences between two samples of continuous data |
| topic | Wilcoxon signed rank test Mann-Whitney U test t-test two samples z-test |
| url | http://hdl.handle.net/20.500.11937/24803 |