Timeline for Height of a Normal distribution curve
Current License: CC BY-SA 3.0
17 events
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| Sep 21, 2017 at 19:52 | history | protected | kjetil b halvorsen♦ | ||
| Mar 28, 2015 at 2:38 | comment | added | Glen_b | rnso -- don't ask new substantive questions in comments. That's actually a question that's been asked a number of times, you should be able to find some good posts on it. | |
| Mar 27, 2015 at 14:54 | history | edited | rnso | CC BY-SA 3.0 |
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| S Mar 27, 2015 at 9:07 | history | edited | conjugateprior | CC BY-SA 3.0 |
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| S Mar 27, 2015 at 9:07 | history | suggested | CommunityBot | CC BY-SA 3.0 |
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| Mar 27, 2015 at 8:50 | review | Suggested edits | |||
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| Mar 27, 2015 at 4:32 | comment | added | rnso | Thanks. I should have read the article more carefully. However, it is usually not emphasized while recommending comparison of groups that F-test should also be done along with tests to compare means. Alternatively, is it recommended that the KS test should be done in almost all comparison of groups so that difference in standard deviation is also picked up even if the means are not different? | |
| Mar 27, 2015 at 3:21 | comment | added | Aleksandr Blekh | Re: your last question. Definition from corresponding Wikipedia article: "If $\mu = 0$ and $\sigma = 1$, the distribution is called the standard normal distribution or the unit normal distribution denoted by $N(0,1)$" (emphasis mine; the standard normal distribution is the one that peaks at ~0.4). | |
| Mar 27, 2015 at 3:19 | comment | added | rnso | I was thinking of all tests of comparing means, as is generally done. Thanks for your explanations. | |
| Mar 27, 2015 at 3:16 | comment | added | Glen_b | Your claim "all tests would show no significant difference between them" is false. At reasonable sample sizes, an F test for variance (testing if the ratio of variances differs from 1) would find the difference easily, as would a simple Kolmogorov Smirnov test. | |
| Mar 27, 2015 at 3:09 | vote | accept | rnso | ||
| Mar 27, 2015 at 3:08 | history | edited | rnso | CC BY-SA 3.0 |
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| Mar 27, 2015 at 2:54 | history | edited | rnso | CC BY-SA 3.0 |
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| Mar 27, 2015 at 2:31 | comment | added | rnso | I meant height of the density curve of normally distributed data. | |
| Mar 27, 2015 at 2:22 | comment | added | Glen_b | It's not clear what function "bell shaped" serves in your question. A normal density has a bell shape (but one can have a distinctly-bell shaped density that's non normal). If you removed it, so the question just said "normal distribution", would that change the intent of the question? | |
| Mar 27, 2015 at 2:19 | answer | added | Glen_b | timeline score: 25 | |
| Mar 27, 2015 at 2:02 | history | asked | rnso | CC BY-SA 3.0 |