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NNADVOKAT [17]
3 years ago
6

(8 x 3,000) + (8x200) +(8x9)

Mathematics
2 answers:
nirvana33 [79]3 years ago
7 0
The answer is for your problem is 40,072
Savatey [412]3 years ago
4 0
THE ANSWER IS 40,072
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The number of pieces of popcorn in a large movie theatre popcorn bucket is normally distributed, with a mean of 1610 and a stand
romanna [79]

Answer:

A

Step-by-step explanation:

We know that in normal distribution, approximately 34% of bags will fall with in one standard deviation on one side. On both sides within the range of 1 standard deviation, 34 + 34 = 68 % of bags will fall.

Our range is:

1600 to 1620

1610 - 10 to 1610 + 10

So the answer is 1

That means, that 68% is the answer.

7 0
3 years ago
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HELP ME I BEG U a solution to the equation 4x-3y=12 must also be a solution to which of the following equation?
AnnZ [28]

Answer:

(2) is the correct answer

Step-by-step explanation:

if you multiply the given equation by 3 you get answer (2):

3(4x - 3y) = 3(12)

12x - 9y = 36

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3 years ago
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Find the slope of a line that passes through points (-2,1) and<br> (3,-5)
klasskru [66]

Answer:

-1.2

Step-by-step explanation:

4 0
3 years ago
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Solve using the distributive property: 3 (x + 3) - 2x
ryzh [129]
Udon used hufcimcfinf 8to itfor jvfor
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Sound City sells the ClearTone-400 satellite car radio. For this radio, historical sales records over the last 100 weeks show 5
Harman [31]

Answer:

μ =2.23

\sigma_x^2= 1.49

\sigma_x=1.22

Step-by-step explanation:

Radio(x)                            weeks                           P(x)

0                                         5                                 5/100 = 0.05

1                                           27                               27/100=0.27

2                                          27                                 27/100 = 0.27

3                                         27                                 27/100 = 0.27  

4                                           9                                    9/100=0.09

5                                             5                                    5/100=0.05

We know that

Mean ,μ

\mu =\sum x.P(x)

μ = 0 x 0.05 + 1 x 0.27 + 2 x 0.27 + 3 x 0.27 + 4 x 0 .09 + 5 x 0.05

μ =2.23

\sigma_x^2= \sum x^2\times P(x)-(\sum x.P(x))^2

\sigma_x^2= 0^2\times 0.05+ 1^2\times 0.27+ 2^2\times 0.27+ 3^2\times 0.27+ 4^2\times 0.09+5^2\times 0.05-2.23^2

\sigma_x^2= 1.49

\sigma_x= \sqrt{\sigma_x^2}

\sigma_x=1.22

7 0
4 years ago
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