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11Alexandr11 [23.1K]
3 years ago
15

Rewrite 1/2 as a fraction whose numerator is divisible by 3.​

Mathematics
1 answer:
pentagon [3]3 years ago
5 0
You can take any even number divisible by three and then double it for the denominator
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Books spontaneously catch on fire in temperatures at or above 451, degree Fahrenheit. Write an inequality that is true only for
Brilliant_brown [7]
For this case, the first thing you should do is define a variable.
 We have then:
 t: temperature (degree Fahrenheit).
 We write then the inequation that adapts to the problem:
 t> = 451
 Answer:
 
an inequality that is true only for temperatures at which books spontaneously catch on fire is:
 
t> = 451
3 0
3 years ago
PLZ HELP!!! I HAVE AN EXAM!! Find cscΘ if sinΘ=<img src="https://tex.z-dn.net/?f=%5Cfrac%7B-2%7D%7B7%7D" id="TexFormula1" title=
Allisa [31]

\boxed{\bold{\red{csc\theta=-\frac{7}{2}}}}

\large{\red{Solution\: given:}}

Sin\theta=\frac{-2}{7}

we have

cosec \theta=\frac{1}{Sin\theta} =\frac{1}{\frac{-2}{7}}\\=-\frac{7}{2}

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3 years ago
Need help please hurry
enyata [817]

Answer:

The answer for that would be obtuse triangle

3 0
3 years ago
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One-fourth of a number is -60. What's the number!?
likoan [24]
The number is -240 because -240 divided by 4 is -60
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3 years ago
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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
diamong [38]

Answer:

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

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

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%

7 0
4 years ago
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