Timeline for How can you derive the sample size to obtain a particular type II error rate?
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 4, 2014 at 9:49 | history | edited | Nick Cox | CC BY-SA 3.0 |
edited body; edited title
|
| Feb 28, 2014 at 8:45 | vote | accept | David Mckee | ||
| Feb 28, 2014 at 8:35 | answer | added | Glen_b | timeline score: 4 | |
| Feb 27, 2014 at 23:41 | comment | added | Glen_b | No doubt someone will write a good answer, but in the meantime, there's an outline of the calculation here. Keep in mind that they're doing a one tailed test calculation (hence the difference with $\alpha$ vs $\alpha/2$), and that $Z_{1-\beta}=-Z_\beta$, and their $d$ corresponds to $\delta/\sigma$. | |
| Feb 27, 2014 at 23:39 | review | First posts | |||
| Feb 27, 2014 at 23:41 | |||||
| Feb 27, 2014 at 23:31 | comment | added | Glen_b | Such calculations are often called power calculations (power = $1-\beta$). I've removed one of your tags and added a couple of tags relating to power to (hopefully) help with finding related answers in the sidebar. | |
| Feb 27, 2014 at 23:30 | history | edited | Glen_b | CC BY-SA 3.0 |
clarity, formatting; edited tags
|
| Feb 27, 2014 at 23:26 | comment | added | Glen_b | Your question was a bit muddled/confusing. I have edited, but you'll need to review it to check it's asking what you want. | |
| Feb 27, 2014 at 23:21 | history | asked | David Mckee | CC BY-SA 3.0 |