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Mila [183]
3 years ago
12

Parallelogram Property: opposite angles are congruent Solve for x

Mathematics
1 answer:
Anna11 [10]3 years ago
5 0

Answer:

Step-by-step explanation:

Equate the two opposite Angles

7x - 31 = 5x + 13                Subtract 5x from both sides

7x - 5x - 31 = 13                 Combine

2x - 31 = 13                        Add 31 to both sides

2x = 13 + 31                       Combine the right

2x = 44                             Divide by 2

x = 44/2

x = 22

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TiliK225 [7]
Answer would be x(17-32)
5 0
3 years ago
Read 2 more answers
What is the value of m: 5/8=m/96
rodikova [14]

                           <u>m/96  =  5/8</u>

Multiply each side by  96 .

Then you will have  <em>m = 480/8</em> .

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8 0
4 years ago
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) What is Stacy's final number if her starting number is 12?<br> 3n + 10 = 3<br> ?) +10
Ede4ka [16]

Step-by-step explanation:

If 3n+10=3

... 3(12)+10=46?

3 0
3 years ago
Find the 4th term in the sequence of a(n)=-6-4(n-1)
marishachu [46]

Answer:

a(4) = -18

Step-by-step explanation:

The fourth term in the sequence is when n = 4. Substitute n = 4 into the rule a(n)=-6-4(n-1).

a(4) = -6 - 4(4-1)

a(4) = -6 - 4(3)

a(4) = -6 - 12

a(4) = -18

3 0
3 years ago
Find the upper 20%of the weight?
meriva

Answer:

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Upper 20% of weights:

The upper 20% of the weighs are weighs of at least X, which is found when Z has a p-value of 0.8. So X when Z = 0.84. Then

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

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

X = 0.84\sigma + \mu

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

6 0
3 years ago
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