Timeline for What is the best way to test normality for a very large sample size 15000? [duplicate]
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Jul 4, 2015 at 14:52 | comment | added | whuber♦ | The very best test is easy to compute, has an extremely low false positive rate in most settings, and a fabulous false negative rate of zero: without even looking at the data, conclude that the underlying distribution is non-normal. | |
| Jul 4, 2015 at 14:50 | history | closed |
Nick Cox COOLSerdash Xi'an whuber♦ |
Duplicate of What is the normality test for binary data?, Testing large dataset for normality - how and is it reliable? | |
| Jul 4, 2015 at 12:14 | comment | added | Glen_b | Why do you feel you need to test normality? | |
| Jul 4, 2015 at 10:16 | review | Close votes | |||
| Jul 4, 2015 at 12:55 | |||||
| Jul 4, 2015 at 10:12 | comment | added | Nick Cox | If it's categorical data, it can't be normal.... Only variables that are least approximately continuous could possibly be (close to) normal. If this is unclear, please explain what you mean by "categorical" and/or give examples of categorical variables. | |
| Jul 4, 2015 at 10:06 | review | Low quality posts | |||
| Jul 4, 2015 at 10:58 | |||||
| Jul 4, 2015 at 10:01 | comment | added | Marquis de Carabas | This question has been answered before. See also: stats.stackexchange.com/questions/2492/… and stats.stackexchange.com/questions/3514/…. You should make sure your question has not already been asked and answered before posting it as a new question. | |
| Jul 4, 2015 at 9:48 | history | asked | Haya | CC BY-SA 3.0 |