Probability Qs random sample + w/standard deviation

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SUMMARY

This discussion focuses on calculating probabilities using statistical methods, specifically the Poisson and normal distributions. The first question involves determining the probability of exactly 8 colorblind individuals in a random sample of 25 from a population where 10% are colorblind, with the correct approach being the binomial distribution rather than the Poisson method. The second question addresses finding the cholesterol value above which 90% of the population falls, given a normal distribution with a mean of 200 and a standard deviation of 20, where the correct value is 174.4, not 224 as initially calculated.

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brunettegurl
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Hi

1) Suppose that it is known that in a certain large population,10%of is is colourblind. If a random sample of 25 people is drawn from the population, find the probability that exactly 8 of them are colourblind.

My Take: is to use the Poisson Probability: f(x)= (e^-\lambda)* \lambda x/x! where \lambda= 0.1 and do it for x=1,2,3...till 8
Im not sure if my take is correct.

2) Supposse that the cholesterol values for a certain population are approx. normally w/mean=200 and standard deviation 20. 90% of the population have cholesterol values greater than x. Find x

My Take: 0.90= P(X\leqx)
0.90= P(X-200/20\leqx-200/20)
0.90=P(z\leqx-200/20)

z0.90=1.20
x= 20*z0.90+ 200
=224

the answer should be 174.4

any help would be appreciated

Thanks
 
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For question 1, binomial would be exact. [25!/(8!17!)].18.917

For question 2, the question was "greater than". Your answer is for "less than".
 

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