00:01
So you have 400 fish that are tagged, caught and tagged, and then they're released.
00:07
And then we have a sample pulled that is 27 out of 157.
00:13
And your answer for a was to estimate what the proportion is.
00:19
So that's going to be a good estimate of the population proportion.
00:23
And i agree with your 0 .1720 to 4 decimal places.
00:30
And then your standard error.
00:31
Now this is the only catch.
00:34
If we have, let's go through and do this, and your numbers agree if we don't use that finite population correction factor and factor, which is that square root of capital n minus n over n minus 1, that we have to use if we have our same.
01:01
Sample size being too big proportionately to the population size.
01:06
So let's estimate what the population size.
01:09
And if i solve this proportion and basically take the 400 times the 157 divided by 27, i would find that this would estimate this to be 2 ,326 fish.
01:27
That's what the estimate is for capital and how many are in that.
01:31
And if we find out what percent that is, 157 out of 2 ,326, divided by, let me get that 157 divided by 2326.
01:47
That comes out to be 0 .067.
01:52
Now, if your rule is that this has to be greater than, if this, as long as this is less than 5%, you're okay to sample, but this is bigger than 5%.
02:04
Some people use a 10 % rule, but if your rule is 5%, then for that confidence interval, you actually need to utilize this proportion.
02:15
So i'm going to guess that's why you're not getting it correct.
02:18
If you don't use this proportion, i agree with your answers.
02:21
If you take this p hat plus or minus that, let's see, i think you had to find in part b or standard air, if you find your standard air, let me erase that, if you find your standard air by taking the square root of that p hat, the one minus the p hat, and then dividing it by the sample size of 157, i agree with you.
02:50
I get 0 .031.
02:52
And if i find the confidence interval by taking p hat plus or minus, this value and times 1 .96 as the z value for 95%.
03:03
I agree with you...