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MariettaO [177]
3 years ago
11

The quotient of 5n^2(m^2+2m-3)/10n(m^2-3m+2) divided by n^2(m^2-3m-18)/4n^2(m^2-8m+12)

Mathematics
1 answer:
slavikrds [6]3 years ago
7 0
\dfrac{ 5n^2(m^2+2m-3)}{10n(m^2-3m+2)} \div  \dfrac{n^2(m^2-3m-18)}{4n^2(m^2-8m+12)}

\dfrac{ 5n^2 (m + 3)(m - 1)}{10n( (m - 1)(m - 2)} \div  \dfrac{n^2(m + 3)(m - 6)}{4n^2(m - 2)(m - 6)}

\dfrac{ 5n^2 (m + 3)(m - 1)}{10n( (m - 1)(m - 2)} \times  \dfrac{4n^2(m - 2)(m - 6)}{n^2(m + 3)(m - 6)}

= 2n
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A film distribution manager calculates that 7% of the films released are flops. If the manager is correct, what is the probabili
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I am going to use the binomial approximation to the normal to solve this question.

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When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

p = 0.07, n = 404. So

\mu = E(X) = np = 404*0.07 = 28.28

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{404*0.07*0.93} = 5.13

If the manager is correct, what is the probability that the proportion of flops in a sample of 404 released films would be greater than 4%?

This is the pvlaue of Z when X = 0.04*404 = 16.16. So

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

Z = \frac{16.16 - 28.28}{5.13}

Z = -2.36

Z = -2.36 has a pvalue of 0.0091

1 - 0.0091 = 0.9909

0.9909 = 99.09% probability that the proportion of flops in a sample of 404 released films would be greater than 4%

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