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Bingel [31]
3 years ago
5

Assume that male and female births are equally likely and that the birth of any child does not affect the probability of the gen

der of any other children. find the probability of exactly six boys in ten births. round the answer to the nearest thousandth.
Mathematics
1 answer:
erma4kov [3.2K]3 years ago
6 0
You need to use the binomial probability formula:
p(k) =  \frac{n!}{k!(n-k)!}  p^{k}  (1-p)^{n-k}

where:
n = total number of events = 10
k = number of events we are testing = 6
p = probability of event happening = 0.5

p(6) = \frac{10!}{6!(10-6)!} 0.5^{6} (1-0.5)^{10-6}
= 210×0.015625×0.0625
= 0.205078

Hence, the probability of getting 6 boys out of 10 births is p = 0.205.
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Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

For proportions p in a sample of size n, we have that \mu = p, \sigma = \sqrt{\frac{p(1 - p)}{n}}

In this problem:

\mu = 0.82, \sigma = \sqrt{\frac{0.82*0.18}{100}} = 0.0394

In a sample of 100 Americans, what is the probability that the proportion who are satisfied with the way that things are going in their life exceeds 0.85

This is 1 subtracted by the pvalue of Z when X = 0.85. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{0.85 - 0.82}{0.0384}

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Z = 0.78 has a pvalue of 0.7823

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21.77% probability that the proportion who are satisfied with the way that things are going in their life exceeds 0.85

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