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Yanka [14]
1 year ago
7

Can someone help me…

Mathematics
1 answer:
aleksandr82 [10.1K]1 year ago
7 0

Answer:

378$

Step-by-step explanation:

since u got 700ft^2 you would multiply 700 with 0.54 and get 378$

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What is the answer for <br> -7+x/3=-13
Law Incorporation [45]

Answer:

x = - 18

Step-by-step explanation:

Given

- 7 + \frac{x}{3} = - 13 ( add 7 to both sides )

\frac{x}{3} = - 6 ( multiply both sides by 3 to clear the fraction )

x = - 18

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3 years ago
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(x-4) (2x+5)(x+7) (x+7)(3x-4)(2x-5) <br><br>simplify it pls​
Nataly_w [17]

Answer: 12x^6+104x^5-319x^4-2890x^3+4661x^2+14000x-19600 sorry I don't have enough time to explain I got to go hope that helps tell me if I was right or not bye!

Step-by-step explanation:

3 0
3 years ago
Which of the following equations is an example of inverse variation between
AURORKA [14]

Answer:

B

Step-by-step explanation:

Any inversely proportional equation is of the form y=k/x.

5 0
2 years ago
the sum of three integers is 92. the second number is three times the first number. the third number is ten less than twice the
Elanso [62]

1st number = x

 2nd number = 3x

3rd number = 2x-10

x +3x + 2x-10 =92

6x - 10 = 92

6x =102

x = 102/6

x = 17

1st number = 17

2nd number = 17*3 = 51

 3rd number = 17 *2 = 34-10 = 24

17 + 51 + 24 = 92

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8 0
3 years ago
Consider the probability that greater than 94 out of 153 people will not get the flu this winter. Assume the probability that a
Hatshy [7]

Answer:

0.8212 = 82.12% probability that greater than 94 out of 153 people will not get the flu this winter.

Step-by-step explanation:

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 = 0.65, n = 153. So

\mu = E(X) = 153*0.65 = 99.45

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{153*0.65*0.35} = 5.9

Consider the probability that greater than 94 out of 153 people will not get the flu this winter

This probability is 1 subtracted by the pvalue of Z when X = 94. So

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

Z = \frac{94 - 99.45}{5.9}

Z = -0.92

Z = -0.92 has a pvalue of 0.1788

1 - 0.1788 = 0.8212

0.8212 = 82.12% probability that greater than 94 out of 153 people will not get the flu this winter.

7 0
3 years ago
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