document.write( "Question 1011694: To estimate the number of fish in a small lake, researchers caught 200 fish, tagged them, and returned them to the lake. The next day they caught 100 fish. Of those caught, 25 had a tag. If there were 800 fish in the lake, what is the probability that 25 of the 100 fish in the second catch would have been tagged? \n" ); document.write( "
Algebra.Com's Answer #627467 by Theo(13342)\"\" \"About 
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you tag 200 fish from the lake.
\n" ); document.write( "assuming that there are 800 fish in the lake, what is the probability that a sample of 100 fish taken from the lake would contain exactly 25 tagged fish.\r
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\n" ); document.write( "\n" ); document.write( "if you tag 200 fish from the lake, and there are 800 fish in the lake, then the proportion of tagged fish to total fish is .25.\r
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\n" ); document.write( "\n" ); document.write( "you subsequently catch 100 fish and want to know the probability that exactly 25 of those fish will be tagged.\r
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\n" ); document.write( "\n" ); document.write( "this is a binomial distribution.\r
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\n" ); document.write( "\n" ); document.write( "the formula for a binomial distribution is:\r
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\n" ); document.write( "\n" ); document.write( "p(x) = c(n,x) * p^x * q^(n-x)\r
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\n" ); document.write( "\n" ); document.write( "x = 25
\n" ); document.write( "n = 100
\n" ); document.write( "p = .25
\n" ); document.write( "q = 1 - .25 = .75\r
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\n" ); document.write( "\n" ); document.write( "the formula becomes:\r
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\n" ); document.write( "\n" ); document.write( "p(25) = c(100,25) * .25^25 * .75^75\r
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\n" ); document.write( "\n" ); document.write( "if your calculator can handle it, you would get p(25) = .0917996918 which we'll round off to .0918.\r
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\n" ); document.write( "\n" ); document.write( "you get p(25) = .0918.\r
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\n" ); document.write( "\n" ); document.write( "c(n,x) is the combination formula of n! / (x! * (n-x)!)\r
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\n" ); document.write( "\n" ); document.write( "it tells you how many possible sets you can get of x elements each out of a total of n elements when order is not important. sets that contain the same elements but in a different order are considered to be the same set and are only counted once. this is different from a permutation where sets that have the same elements but in a different order are counted as different sets.
\n" ); document.write( "for example:
\n" ); document.write( "abc and cba are counted as 1 set by the combination formula.
\n" ); document.write( "abc and cba are counted as 2 sets by the permutation formula.\r
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\n" ); document.write( "\n" ); document.write( "if your calculator can't handle it, then you would use the normal approximation to the binomial.\r
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\n" ); document.write( "\n" ); document.write( "in that case, you would do the following.\r
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\n" ); document.write( "\n" ); document.write( "m = n*p = 100*.25 = 25
\n" ); document.write( "s = sqrt(n*p*q) = sqrt(100*.25*.75) = 4.330127019\r
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\n" ); document.write( "\n" ); document.write( "m1 = m - .5 = 25 - .5 = 24.5
\n" ); document.write( "m2 = m + .5 = 25 + .5 = 25.5\r
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\n" ); document.write( "\n" ); document.write( "z1 = (24.5 - 25) / 4.330127019 = -.154700538
\n" ); document.write( "z2 = (25.5 - 25) / 4.330127019 = .154700538\r
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\n" ); document.write( "\n" ); document.write( "you would then use your z-score calculator to find the area under the distribution curve between a z-factor of -.154700538 and .154700538.\r
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\n" ); document.write( "\n" ); document.write( "the result will be that the area under the distribution curve = .0919275415 which you would round off to .0919.\r
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\n" ); document.write( "\n" ); document.write( "with the binomial distribution formula, you got .0918.
\n" ); document.write( "with the normal approximation to the binomial distribution formula, you got .0919.\r
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\n" ); document.write( "\n" ); document.write( "they're very close to each other, so either one would have sufficed.\r
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\n" ); document.write( "\n" ); document.write( "assuming the binomial distribution formula is the more accurate, the normal approximation of .0919 would be off .0001 from the binomial approximation of .0918 which is about a tenth of a percent off.
\n" ); document.write( "that's pretty good.\r
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\n" ); document.write( "\n" ); document.write( "the first thing that you needed to do to solve this problem was to understand that it is a binomial distribution type of problem.\r
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\n" ); document.write( "\n" ); document.write( "the second thing that you needed to know is that you could use the normal approximation to the binomial if you had to.\r
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\n" ); document.write( "\n" ); document.write( "here's some references you might like to look at for further information.\r
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\n" ); document.write( "\n" ); document.write( "http://www.stattrek.com/probability-distributions/binomial.aspx\r
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\n" ); document.write( "\n" ); document.write( "http://www.mathsisfun.com/data/binomial-distribution.html\r
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\n" ); document.write( "\n" ); document.write( "http://regentsprep.org/Regents/math/algtrig/ATS7/BLesson3.htm\r
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\n" ); document.write( "\n" ); document.write( "http://onlinestatbook.com/2/normal_distribution/normal_approx.html\r
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\n" ); document.write( "\n" ); document.write( "there are plenty more on the web.
\n" ); document.write( "just do a search for (binomial distribution) or (normal approximation to the binomial) and you'll get tons of them.\r
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