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Elenna [48]
3 years ago
14

4(5x-2)=2(9x+3) help please! 12 points and brainliest

Mathematics
1 answer:
photoshop1234 [79]3 years ago
8 0

Answer:

x = 7

Step-by-step explanation:

Given

4(5x - 2) = 2(9x + 3) ← distribute parenthesis on both sides

20x - 8 = 18x + 6 ( subtract 18x from both sides )

2x - 8 = 6 ( add 8 to both sides )

2x = 14 ( divide both sides by 2 )

x = 7

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Convert these decimals and SIMPLIFY:<br> .12<br> .250<br> .3<br> .85<br> .300<br> .05
melisa1 [442]

Answer:

.12 = 12/100 or 4/25 I'm not sure if I'm correct but I tried, I'll try solving the other ones and update you

.250 = 25/100 which simplified is 5/20

5 0
2 years ago
Read 2 more answers
So sorry but can you answer this question gonna pull my hair out
Dmitriy789 [7]
4 × 1 × 3 = 12
2 × 1 × 3 = 6
12 + 6 = 18 cubic ft
6 0
3 years ago
9 and 10 pls help :)
tatuchka [14]

Answer:

Question 9

Option A

Question 10

Option A

<h2>Please mark as brainliest for further answers :)</h2>

5 0
3 years ago
The school currently has 30 classrooms. With the addition, there will be 40 classrooms. What percentage of the current number of
stiv31 [10]
The answer is 34%
30+33%=39.9
So round up two 34%
I hope that is right but I think the answer is 34%
6 0
2 years ago
Lengths of full-term babies in the US are Normally distributed with a mean length of 20.5 inches and a standard deviation of 0.9
mash [69]

Answer:

66.48% of full-term babies are between 19 and 21 inches long at birth

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.

Mean length of 20.5 inches and a standard deviation of 0.90 inches.

This means that \mu = 20.5, \sigma = 0.9

What percentage of full-term babies are between 19 and 21 inches long at birth?

The proportion is the p-value of Z when X = 21 subtracted by the p-value of Z when X = 19. Then

X = 21

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

Z = \frac{21 - 20.5}{0.9}

Z = 0.56

Z = 0.56 has a p-value of 0.7123

X = 19

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

Z = \frac{19 - 20.5}{0.9}

Z = -1.67

Z = -1.67 has a p-value of 0.0475

0.7123 - 0.0475 = 0.6648

0.6648*100% = 66.48%

66.48% of full-term babies are between 19 and 21 inches long at birth

5 0
2 years ago
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