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Hitman42 [59]
3 years ago
13

Help on this? thanks (:

Mathematics
2 answers:
Natalka [10]3 years ago
5 0

Answer:

the answer is D. 6 bottles

Alex3 years ago
4 0

Answer:

D

Step-by-step explanation:

24-6 = 18 32-6x3=18

Hope this helped!

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1. m+ 10< 16
sleet_krkn [62]

Answer:

1.\ m

Step-by-step explanation:

1. Subtract 10 from both sides. Then:

m+ 10< 16\\ m+ 10-10< 16-10\\m

2. Divide both sides by -2. Notice that the direction of the symbol of the inequality will change. Then:

-2g\geq8\\\\\frac{-2g}{-2}\geq\frac{8}{-2}\\\\g\leq-4

3. Add 22 to both sides. Then:

y-22< 19\\ y-22+22

4. Divide both sides by -7. Notice that the direction of the symbol of the inequality will change. Then:

-7b>-28\\\\\frac{-7b}{-7}>\frac{-28}{-7}\\\\b

5. Subtract 30 from both sides. Then:

h+30

6. Divide both sides by -5. Notice that the direction of the symbol of the inequality will change. Then:

-5x

7. Subtract 13 from both sides. Then:

t+13>22\\ t+13-13>22-13\\t>9

8. Add 12 to both sides. Then:

w-12< 16\\ w-12+12

7 0
3 years ago
Use the distributive property to evaluate each expression (5-7)(-30
ohaa [14]

Answer:

60

Step-by-step explanation:

You first have to do the parenthesis

(5-7)= 5-7= -2

Then just multiply -30 by -2

Since negative x negative = positive, the answer will be positive.

(-2)(-30)= -2 x -30= 60

60

8 0
3 years ago
Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What
lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

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 5,500 and standard deviation 1,000.

This means that \mu = 5500, \sigma = 1000

What is the probability that the call center will get between 4,800 and 5,000 calls in a day?

This is the p-value of Z when X = 5000 subtracted by the p-value of Z when X = 4800. So

X = 5000

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

Z = \frac{5000 - 5500}{1000}

Z = -0.5

Z = -0.5 has a p-value of 0.3085.

X = 4800

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

Z = \frac{4800 - 5500}{1000}

Z = -0.7

Z = -0.7 has a p-value of 0.2420.

0.3085 - 0.2420 = 0.0665

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

4 0
2 years ago
Suppose R = {1,3,5,7,9,11,13,15,17} and D={3,6,9,12,15,18,21,24,27} r d
Free_Kalibri [48]

The intersection of sets R and D is give by the following set:

R ∩ D = {3, 9, 15}.

<h3>What is the missing information?</h3>

This problem is incomplete, but researching it on a search engine, we find that it asks the intersection of sets R and D.

<h3>What is the set that is the intersection of two sets?</h3>

The set that is the intersection of two sets is composed by the elements that belong to both sets.

For this problem, the sets are given as follows:

  • R = {1,3,5,7,9,11,13,15,17}.
  • D={3,6,9,12,15,18,21,24,27}

Hence the intersection is given by:

R ∩ D = {3, 9, 15}.

As the elements 3, 9 and 15 are the only ones that belong to both sets.

More can be learned about intersection of sets at brainly.com/question/11439924

#SPJ1

3 0
1 year ago
Eight divided by three hundred forty four
adell [148]

your answer for 344 divided by 8 is 43

7 0
3 years ago
Read 2 more answers
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