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notsponge [240]
3 years ago
15

Please help me answer 70 is 160% of what?

Mathematics
2 answers:
Blizzard [7]3 years ago
8 0
70 = 160% of x

70 = 160/100   * x

70  = 1.6x

1.6x = 70

x = 70 / 1.6

x = 43.75

70 is 160% of 43.75
Lina20 [59]3 years ago
6 0
You are basically asking 160% of X = 70. 
1) 70 x 100 = 7000 (to turn the 70 into a %)
2) 7000 /160 = 43.75

You can reverse the equation to double check the answer. 
160% x 43.75 = 70
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Can somebody please help me
Vinil7 [7]

Answer:

the answer to #9 is (½, 1½)

Step-by-step explanation:

to find the midpoint, you need to use the midpoint formula

the midpoint formula is (x₁ + x₂ / 2 , y₁ + y₂ / 2)

for #9 you have to plug in the appropriate numbers in the formula

(-4 + 5 / 2 , 4 - 1 / 2)

(½ , 1½)

3 0
4 years ago
Find the prime factorization of the following number. 110
Andrew [12]

Answer:

{2, 5, 11}

Step-by-step explanation:

First, 110 = 2 * 55

Next, 55 = 5 * 11

Thus, the prime factors of 110 are {2, 5, 11}

4 0
3 years ago
In standard notation 208.06 is written as
andreyandreev [35.5K]

Answer:

2.0806 × 10²

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
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:

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:

n = 110, p = 0.2

So

\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

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

4 0
3 years ago
Solve equation show work
Naddika [18.5K]

Answer:

h= -8/3

Picture Explanation:

  1. Divide 3 on both sides of the equal sign, as shown above, so (h) can be alone.
  2. Since negative 8, let alone positive 8, can't be divided into 3, you simply leave the fraction as is. So you're left with (h= -8/3)

<em><u>Hope this makes sense.</u></em>

7 0
3 years ago
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