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Afina-wow [57]
3 years ago
9

7-(-9)-18+(-19)+18.​

Mathematics
2 answers:
Travka [436]3 years ago
6 0

Answer:

-3

Step-by-step explanation:

7 - (-9) - 18 + (-19) +18

Remove the opposites

Remove the parentheses

7 + 9 - 19

Calculate

hammer [34]3 years ago
5 0

Answer:

The answer is -3

Step-by-step explanation:

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Which equation is equivalent to the formula below? <br> Y = A ( X - H) ^2 + K
frozen [14]

Answer:

<em>B. a = y - k/(x-h)² </em>

Step-by-step explanation:

Given the expression y = a (x-h)² + k

First make  a the subject of the formula

Subtract k from both sides

y = a (x-h)² + k

y- k = a (x-h)² + k - k

y - k = a (x-h)²

Divide through by (x-h)²

y - k/(x-h)²  = a

a = y - k/(x-h)²

Hence option B is correct

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2 years ago
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GH and JK planes are congruent!

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3 years ago
The length of a rectangle is 2 inches more than twice its width. Write an equation relating to its length of the rectangle to it
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L=2w+2. (2 times width plus 2 inches)
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The weights of college football players are normally distributed with a mean of 200 pounds and a standard deviation of 50 pounds
Feliz [49]

Answer:

0.3811 = 38.11% probability that he weighs between 170 and 220 pounds.

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question, we have that:

\mu = 200, \sigma = 50

Find the probability that he weighs between 170 and 220 pounds.

This is the pvalue of Z when X = 220 subtracted by the pvalue of Z when X = 170.

X = 220

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

Z = \frac{220 - 200}{50}

Z = 0.4

Z = 0.4 has a pvalue of 0.6554

X = 170

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

Z = \frac{170 - 200}{50}

Z = -0.6

Z = -0.6 has a pvalue of 0.2743

0.6554 - 0.2743 = 0.3811

0.3811 = 38.11% probability that he weighs between 170 and 220 pounds.

6 0
3 years ago
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