Checking Normality for Parametric Tests
Marshall, E. and Samuels, P. (2017) Checking Normality for Parametric Tests. Technical Report. ResearchGate, Sheffield / Birmingham.
|
Text
__staff_shares_storage 500mb_Library_ID112668_Stats Advisory_Statstutor uploads_Sheffield_NormalityChecking14.pdf Download (491kB) |
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) | ||||
|---|---|---|---|---|---|
| Identification Number: | https://doi.org/10.13140/RG.2.2.33314.94405 | ||||
| Dates: |
|
||||
| Subjects: | CAH09 - mathematical sciences > CAH09-01 - mathematical sciences > CAH09-01-03 - 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: | 12 Jan 2022 12:52 | ||||
| URI: | https://www.open-access.bcu.ac.uk/id/eprint/6074 |
Actions (login required)
 |
View Item |
Tools
Tools
Tools
CORE (COnnecting REpositories)