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scZoUnD [109]
2 years ago
6

PLEASE help me i really apreacatie if you show your work both in numbers and a sentence since i dont know how to explaning tysm

once agin bless your heart

Mathematics
2 answers:
lesya [120]2 years ago
8 0

Answer:

No solution

Step-by-step explanation:

collect like terms,

8x = 2(4x - 5) -2

Then distribute to throughout the parentheses,

8x = 8x - 10 - 2

Cancel equal terms on both sides of the equation,

0 = -10 - 2

Calculate the difference,

0 = -12

This statement is false because zero does equivalate to -12.

aleksklad [387]2 years ago
5 0

Answer:

No Solution

Step-by-step explanation:

OK first just remember PEMDAS which stands for

Parentheses Exponents Multiplication Division Addition Subtraction

so we do these things in order from left to right.

first i see some parentheses so lets take care of that, pay attention to this part

2(4x - 5)

lets do some distribution, we multiply the numbers in the parentheses by the number thats right outside of the parentheses

this becomes

8x-10

so now we have...

5x+3x=8x-10-2

it is pretty easy from this point on

just add like terms. 5x plus 3x equals 8x. -10 - 2 equals -12.

8x=8x-12

now we have to do opposite calculations on both sides. for example, lets take the 8x to the right of the equal sign, and subtract 8x from both sides.

0=-12

is this true? does this make sense? NO! so the answer is No Solution.

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A simple random sample of 110 analog circuits is obtained at random from an ongoing production process in which 20% of all circu
telo118 [61]

Answer:

64.56% probability that between 17 and 25 circuits in the sample are defective.

Step-by-step explanation:

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The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

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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:

n = 110, p = 0.2

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\mu = E(X) = np = 110*0.2 = 22

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{110*0.2*0.8} = 4.1952

Probability that between 17 and 25 circuits in the sample are defective.

This is the pvalue of Z when X = 25 subtrated by the pvalue of Z when X = 17. So

X = 25

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

Z = \frac{25 - 22}{4.1952}

Z = 0.715

Z = 0.715 has a pvalue of 0.7626.

X = 17

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

Z = \frac{17 - 22}{4.1952}

Z = -1.19

Z = -1.19 has a pvalue of 0.1170.

0.7626 - 0.1170 = 0.6456

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Step-by-step explanation:

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