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mixas84 [53]
3 years ago
14

Combine like terms. Then add 47 to each side.

Mathematics
2 answers:
Verdich [7]3 years ago
6 0
The correct answer is 8. I hope this helps
LUCKY_DIMON [66]3 years ago
5 0

Answer:

8

Step-by-step explanation:

(11x + 10x) + (-28 - 19) = 121

21x-47=121

    +47  +47

21x=168

*divide both sides by 21*

x=8

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27

Step-by-step explanation:

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V + –79 = –89<br> solving for v
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-89 + 79= -10
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What is the domain of the function if the coordinates on the table are:
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Answer:

{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

Step-by-step explanation:

The domain is the set of all inputs (x-values) given in the table.  It's {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}.


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3 years ago
If 7 is added to the square of a positive integer, the result is 43. Find the positive integer
Blababa [14]

Answer:

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Step-by-step explanation:

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7 0
4 years ago
The probability that a lab specimen contains high levels of contamination is 0.14. A group of 4 independent samples are checked.
Shtirlitz [24]

Answer:

a) 0.5470 = 54.70% probability that none contain high levels of contamination.

b) 0.3562 = 35.62% probability that exactly one contains high levels of contamination.

c) 0.4530 = 45.30% probability that at least one contains high levels of contamination.

Step-by-step explanation:

For each sample, there are only two possible outcomes. Either they contain high levels of contamination, or they do not. The samples are independent. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

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

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

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

And p is the probability of X happening.

The probability that a lab specimen contains high levels of contamination is 0.14.

This means that p = 0.14

A group of 4 independent samples are checked.

This means that n = 4

(a) What is the probability that none contain high levels of contamination?

This is P(X = 0)

P(X = 0) = C_{4,0}.(0.14)^{0}.(0.86)^{4} = 0.5470

0.5470 = 54.70% probability that none contain high levels of contamination.

(b) What is the probability that exactly one contains high levels of contamination?

This is P(X = 1)

P(X = 1) = C_{4,1}.(0.14)^{1}.(0.86)^{3} = 0.3562

0.3562 = 35.62% probability that exactly one contains high levels of contamination.

(c) What is the probability that at least one contains high levels of contamination?

Either none of the samples contain high levels of contamination, or at least one does. The sum of the probabilities of these events is decimal 1. So

P(X = 0) + P(X \geq 1) = 1

We want to find P(X \geq 1). So

P(X \geq 1) = 1 - P(X = 0) = 1 - 0.5470 = 0.4530

0.4530 = 45.30% probability that at least one contains high levels of contamination.

8 0
3 years ago
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