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Tema [17]
2 years ago
11

18 × [ 7+(-3) ] = [ 18 x 7] + [ 18 × (-3) ]​

Mathematics
2 answers:
rusak2 [61]2 years ago
5 0

Step-by-step explanation:

subtract 3 from 7 to get 4

18 x 4 = 18 x 7 + 18 (-3)

multiply 18 and 4 to get 72

72= 18 x 7 + 18 (-3)

multiply 18 and 7 to get 126

multiply 18 and -3 to get -54

72 = 126 - 54

subtract 54 from 126 to get 72

72 = 72

Ad libitum [116K]2 years ago
4 0
They are equal 72=72
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A shape is shown on the centimetre grid below.
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Answer:

The area of the shape after it has been enlarged by

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Step-by-step explanation:

The Area is basically a measure of how much space in square units there is inside an object.

As the shape is shown on the centimeter grid.

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We also know that If the scale factor > 1, the image is enlarged.

As we know to determine the area of the shape after it has been enlarged by scale factor 2, all we need to do is to multiply the area of the original shape by 2.

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2 years ago
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It is estimated that 0.54 percent of the callers to the Customer Service department of Dell Inc. will receive a busy signal. Wha
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Using the binomial distribution, it is found that there is a 0.8295 = 82.95% probability that at least 5 received a busy signal.

<h3>What is the binomial distribution formula?</h3>

The formula is:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

C_{n,x} = \frac{n!}{x!(n-x)!}

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • 0.54% of the calls receive a busy signal, hence  p = 0.0054.
  • A sample of 1300 callers is taken, hence n = 1300.

The probability that at least 5 received a busy signal is given by:

P(X \geq 5) = 1 - P(X < 5)

In which:

P(X < 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4).

Then:

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{1300,0}.(0.0054)^{0}.(0.9946)^{1300} = 0.0009

P(X = 1) = C_{1300,1}.(0.0054)^{1}.(0.9946)^{1299} = 0.0062

P(X = 2) = C_{1300,2}.(0.0054)^{2}.(0.9946)^{1298} = 0.0218

P(X = 3) = C_{1300,3}.(0.0054)^{3}.(0.9946)^{1297} = 0.0513

P(X = 4) = C_{1300,4}.(0.0054)^{4}.(0.9946)^{1296} = 0.0903

Then:

P(X < 5) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) = 0.0009 + 0.0062 + 0.0218 + 0.0513 + 0.0903 = 0.1705.

P(X \geq 5) = 1 - P(X < 5) = 1 - 0.1705 = 0.8295

0.8295 = 82.95% probability that at least 5 received a busy signal.

More can be learned about the binomial distribution at brainly.com/question/24863377

#SPJ1

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