Timeline for Low number of observation while comparing means
Current License: CC BY-SA 3.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 17, 2019 at 8:56 | answer | added | KO 88 | timeline score: 0 | |
| Jan 17, 2019 at 8:34 | answer | added | mkt | timeline score: 2 | |
| Aug 14, 2017 at 3:01 | history | tweeted | twitter.com/StackStats/status/896929723669860352 | ||
| Mar 9, 2017 at 8:24 | comment | added | user10619 | please incorporate information or results by editing your question. | |
| Mar 9, 2017 at 8:15 | comment | added | user10619 | what is the computed value of F for ANOVA results. | |
| Mar 7, 2017 at 23:34 | comment | added | whuber♦ | Have you considered a regression model? That would be much more powerful (and less arbitrary) than binning the weights into groups. Indeed, often a scatterplot (of weight vs age) will settle the issue and a formal test might be unnecessary. It will also provide much more insight into just how weights vary with age. | |
| Mar 7, 2017 at 21:05 | comment | added | Günal | @whuber, it was another variable, age. Those < 18 in group 1, those >= 18 & <25 in group 2 etc. So, I have 3 people aged < 18, 12 people in 2nd group etc and want to compare their weights | |
| Mar 7, 2017 at 20:56 | comment | added | whuber♦ | Were the comparisons made using the weights or some other variable? | |
| Mar 7, 2017 at 20:44 | comment | added | Günal | @whuber, I have 97 observations and classified them by being smaller or greater than some values, which led to 4 groups. So, I would like to campare their means now. I am expecting to get a p value < 0.05 because of the way I classified them and ANOVA produces a p-value of 0.59 where Kruskal-Wallis 0.02 | |
| Mar 7, 2017 at 20:37 | comment | added | whuber♦ | What is the reason the group sizes are so different? It is so extreme as to suggest something unusual might be going on which we should look into before venturing an answer. | |
| Mar 7, 2017 at 20:35 | comment | added | Peter Flom | The choice of ANOVA vs. Kruskal Wallis H test does not depend on sample size. | |
| Mar 7, 2017 at 20:31 | comment | added | Michael R. Chernick | Just accept the result of the Kruskal-Wallis test. | |
| Mar 7, 2017 at 20:29 | history | asked | Günal | CC BY-SA 3.0 |