Timeline for Differing variance equations
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Oct 6, 2018 at 6:05 | vote | accept | Dylan Russell | ||
| Oct 6, 2018 at 6:02 | answer | added | gunes | timeline score: 4 | |
| Oct 6, 2018 at 5:59 | comment | added | user158565 | Try to find the difference between "parameter" and "the estimate of parameter". In your case, the first one is parameter and the second one is the estimate (guess) of the first one. More specifically, the first one is variance of $x$ and the second one is the estimate of the variance of $x$. | |
| Oct 6, 2018 at 5:20 | comment | added | Dylan Russell | I think understand the difference but am still confused. Lets assume the total population was 100 and I measured some variable $x$ in every member of that population. In order to determine the variance of $x$, I would still have to multiply $\sum_{i=1}^n (x_i - \bar{x})^2$ by $\frac{1}{n}$. The top equation does not have a $\frac{1}{n}$. I'm asking is that what the $\mathrm{E}$ implies? | |
| Oct 6, 2018 at 5:15 | comment | added | Matthew Gunn | To understand the distinction, you should understand the difference between the population and a sample. | |
| Oct 6, 2018 at 5:06 | history | asked | Dylan Russell | CC BY-SA 4.0 |