Timeline for Winsorizing data
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 10, 2018 at 17:30 | comment | added | Sal Mangiafico | @Christoph , It's not entirely clear to me what you did, but just for posterity, it doesn't sound like a reasonable approach to identify outliers. | |
| Jun 10, 2018 at 17:13 | vote | accept | Christoph1234 | ||
| Jun 10, 2018 at 16:15 | comment | added | Christoph1234 | I am sorry if this was wrongly used. I mean even though we had some statistic courses we never discussed the method of winsorizing data. What I did was that I used the explore function in SPSS, constructed a 97,5% confidence interval of the mean. Then, I received some descriptive statistics and I thought the values below the lower bound and the values above the upper bound are the outliers. Maybe I am completely wrong but that was the way I thought I have to do it. | |
| Jun 10, 2018 at 13:57 | answer | added | Sal Mangiafico | timeline score: 5 | |
| Jun 9, 2018 at 22:56 | comment | added | Christoph1234 | I conducted a 97.5% confidence interval and as I thought the values above 97.5% and below 2.5% are extreme values and in this case outliers | |
| Jun 9, 2018 at 22:28 | comment | added | The Laconic | How are you defining "outlier" in this context? | |
| Jun 9, 2018 at 21:51 | review | First posts | |||
| Jun 9, 2018 at 22:28 | |||||
| Jun 9, 2018 at 21:47 | history | asked | Christoph1234 | CC BY-SA 4.0 |