Checking Normality for Parametric Tests
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Marshall, E. and Samuels, P. (2017) Checking Normality for Parametric Tests. Technical Report. ResearchGate, Sheffield / Birmingham.
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Official URL: https://www.researchgate.net/publication/320831642...
Abstract
One of the assumptions for most parametric tests to be reliable is that the data is approximately normally distributed. The normal distribution peaks in the middle and is symmetrical about the mean. Data does not need to be perfectly normally distributed for the tests to be reliable.
| Item Type: | Monograph (Technical Report) |
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| Subjects: | G300 Statistics |
| Divisions: | Faculty of Business, Law and Social Sciences > Birmingham City Business School > Dept. Management, HR and Enterprise |
| Depositing User: | Peter Samuels |
| Date Deposited: | 29 Jun 2018 13:38 |
| Last Modified: | 29 Jun 2018 13:38 |
| URI: | http://www.open-access.bcu.ac.uk/id/eprint/6074 |
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