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Roman55 [17]
3 years ago
10

PLEAS HELP 2m · 2n would be the same as _____. 4 mn 2 m + n 2 mn 2 m - n

Mathematics
2 answers:
Gala2k [10]3 years ago
8 0

Answer:

4mn

Step-by-step explanation:

you would multiply the 2s then the m and n cant multiply so they would stay beside eachother so it would be 4mn

andriy [413]3 years ago
7 0

4mn. You are multiplying them all together.

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What is the y intercept of the line containing the points shown in the table.
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Answer:

Answer is B

Step-by-step explanation:

In this question, we have to find the value of the y intercept and we have a table given .

First let's see what is y intercept.

y intercept is the value of y when x=0.

And in the given table , we have to check for the y value whose x value is 0 .

And when x=0, y=-5. THerefore y intercept is -5. And the correct option is B.

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Which digit is in the millions place?<br><br> 50,862,115<br><br> 8<br> 5<br> 0<br> 2
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Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
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
3 years ago
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