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3 years ago

So who is gonna help me with this ? هههههههه please and thank you .

Mathematics

2 answers:

mario62 [17]3 years ago

8 0

I believe you would multiply 6 and 10 and get the area of 60, thats all i can think of

Travka [436]3 years ago

5 0

Okay so first you find the area of the pool by doing 10×6 which equals 60. then the area of the backyard is 400. so w
in order to get the yard area without the pool you subtract 60 from 400. (400-60) then you get 340. so the answer is 340 feet

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60 yards back

Step-by-step explanation:Mutiply 4 and 15

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3 years ago

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Adrianne wanted to donate some of her shoes to the homeless. She had a total of 28 pairs of shoes in her closet, 75% of them wer

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3 years ago

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Show all work to solve by factoring 3x^2 − x − 2 = 0.

shtirl [24]

Answer:

The solutions are x=1 and x=-2/3

Step-by-step explanation:

we have

$3x^{2}-x-2=0$

Group terms that contain the same variable, and move the constant to the opposite side of the equation

$3x^{2}-x=2$

Factor the leading coefficient

$3(x^{2}-(1/3)x)=2$

Complete the square. Remember to balance the equation by adding the same constants to each side

$3(x^{2}-(1/3)x+(1/36))=2+(1/12)$

$3(x^{2}-(1/3)x+(1/36))=25/12$

Rewrite as perfect squares

$3(x-(1/6))^{2}=25/12$

$(x-(1/6))^{2}=25/36$

square root both sides

$(x-(1/6))=(+/-)(5/6)$

$x=(1/6)(+/-)(5/6)$

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3 years ago

Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to

attashe74 [19]

Answer:

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Step-by-step explanation:

Binomial probability distribution

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

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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 distributions 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 $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .