Timeline for "Difference of the means" vs "mean of differences"
Current License: CC BY-SA 4.0
4 events
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| Nov 5 at 16:29 | comment | added | Alecos Papadopoulos | @plotmaster473 As I suspected, there are more aspects in the situation which were not described in the original post. For example, to state the simplest one: difference in sample sizes. And indeed, as another answer pointed out there may be a difference in the standard deviation that is used to form the Confidence interval. | |
| Nov 5 at 13:14 | comment | added | user443087 | """ ... [otherwise] if you're examining the difference in the means of two separate populations (such as males versus females), use the methods in this section to find a confidence interval for the difference of two means. """ and logically, there must be a difference between CIs "R", and CI "V", if CIs R are confidence intervals for each array X and Y, and CI V is just the confidence interval of X-Y? No? The is what I am trying to test: If the mean of two sub-samples of a population are statistically different. I am using confidence intervals with t-scores, but am unsure which of above. | |
| Nov 5 at 13:10 | comment | added | user443087 | The original question came from learning the formulas for the "Confidence interval for the mean of a population" and the "confidence interval for the difference of two means" right beside one another, by author of the book also raises the question as well (it's one of those "for dummies" books, so I may missing something here, haha). The author states that """...Also note that there is a difference between the "difference in the means" and the "mean of the differences". If you're looking at pairs of data (such as pre-test versus post-test)... use the confidence interval for the mean. ... | |
| Nov 4 at 16:27 | history | answered | Alecos Papadopoulos | CC BY-SA 4.0 |