Hi guys. Just a bit of statistics (CI) work i'm trying to get my head around: A Salmon Marketing Board decided to estimate the number of salmon in a lake that had been closed to fishing. 80 salmon were caught, tagged and released back into the lake. A week later another sample of 50 salmon was caught, and 17 of these were salmon that had been tagged the week before. Using this information, calculate a 95% confidence interval for the number of salmon in the lake.
If we take our sample to be 50, and 17 of those 50 were tagged, then our sample proportion would be 0.34, giving a (1-p) of 0.66. Then we get a margin of error of 0.1313
So the confidence interval for the proportion of salmon in the lake that were tagged (is this correct?) is \[0.2087 \le \pi \le 0.4713\]
Question is, how to we get from that confidence interval to the number of fish in the lake CI?
i have forgotten my formulas for proportions :{ how did you calculate margin of error? if it is correct, then to change CI from proportion to num of fish take 80 divided by proportion \[\pi = \frac{80}{N} \rightarrow N = \frac{80}{\pi}\] \[\frac{80}{.4713} \le N \le \frac{80}{.2087}\]
Oh, so the 0.2087 represents the proportion of tagged fish in the entire lake as well... That makes perfect sense. Margin of error for 95% CI (CLT implies normal distribution and hence z=1.96) is |dw:1371966706625:dw|
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