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LekaFEV [45]
3 years ago
11

Find 2 numbers, if their sum is -11 and their difference is 41

Mathematics
1 answer:
frosja888 [35]3 years ago
5 0

Answer:

  15, -26

Step-by-step explanation:

The <em>generic solution</em> to a "sum and difference" problem can be found easily. Let "a" and "b" represent the numbers you seek, and let "s" and "d" represent their sum and difference:

  a + b = s

  a - b = d

Adding these two equations tells you ...

  2a = s + d

  a = (s + d)/2 . . . . . . divide by the coefficient of a

You can find "b" several different ways. One way is to subtract the second equation from the first:

  2b = s - d

  b = (s - d)/2 . . . . . . divide by the coefficient of b

So, the second number can be found from any of ...

  • b = s - a
  • b = a - d
  • b = (s - d)/2

____

For the numbers given here, s=-11, d=41, the two numbers are ...

  a = (-11 +41)/2 = 15

  b = -11 -15 = -26

The two numbers are 15 and -26.

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WITCHER [35]

Answer:

P(B' \cup A') = P((A \cap B)') = 1-P(A \cap B)= 1-0.32=0.68

See explanation below.

Step-by-step explanation:

For this case we define first some notation:

A= A new training program will increase customer satisfaction ratings

B= The training program can be kept within the original budget allocation

And for these two events we have defined the following probabilities

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We are assuming that the two events are independent so then we have the following propert:

P(A \cap B ) = P(A) * P(B)

And we want to find the probability that the cost of the training program is not kept within budget or the training program will not increase the customer ratings so then if we use symbols we want to find:

P(B' \cup A')

And using the De Morgan laws we know that:

(A \cap B)' = A' \cup B'

So then we can write the probability like this:

P(B' \cup A') = P((A \cap B)')

And using the complement rule we can do this:

P(B' \cup A') = P((A \cap B)')= 1-P(A \cap B)

Since A and B are independent we have:

P(A \cap B )=P(A)*P(B) =(0.8*0.4) =0.32

And then our final answer would be:

P(B' \cup A') = P((A \cap B)') = 1-P(A \cap B)= 1-0.32=0.68

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