Approximate the Prob. in a normal distribution of a binomial

rogo0034
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Homework Statement


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Homework Equations



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The Attempt at a Solution


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See, i was having trouble determining when to use the Continuity Correction in the problems, and i guess i still am. but i was able to match my answer with the given one from the back of the book when I stopped using it. however, the second problem doesn't match, even after using the new formula and the new percentage.

I got .3264 and they got .3974

Where am i going wrong here? anyone?
 
rogo0034 said:
See, i was having trouble determining when to use the Continuity Correction in the problems, and i guess i still am. but i was able to match my answer with the given one from the back of the book when I stopped using it. however, the second problem doesn't match, even after using the new formula and the new percentage.

I got .3264 and they got .3974

Where am i going wrong here? anyone?

You should NOT use the continuity correction in (a), because you are NOT approximating a discrete distribution by a continuous one; you are evaluating a probability for a truly continuous random variable. So, you get a slightly wrong probability in (a), then you use that incorrect value in (b).

I get values different from yours and (presumably) from the book's. For (b) I get: exact probability = 0.374928, normal approx with continuity correction = 0.396911, normal approx without continuity correction = 0.472994.

RGV
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...

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