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Gnesinka [82]
3 years ago
6

8 divide 2 equals n

Mathematics
2 answers:
GarryVolchara [31]3 years ago
7 0

Answer:

Me no good at math :(

Step-by-step explanation:

I big dumb

baherus [9]3 years ago
5 0

Answer: 8 divide 2 equals n

12 divide 4 equals n=  3

15 divide 5 equals n=3

10 divide 5 equals n=2

20 divide 4 equal n=5

30 divide 5 equals=6

Step-by-step explanation:

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3x^2(4x^3-2x^2+7x-4)
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<h3>>> Given Question :</h3>

3x²(4x³ - 2x² + 7x - 4)

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12x⁵ - 6x⁴ + 21x³ - 12x²

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6 0
3 years ago
Solve: 10(0.5x- 2) = -3x + 20 + 8x
eduard

Answer: no solution

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
X y<br>-28 -54<br>-21 - 40<br>-14 -26<br>What is the y-intercept of the line?​
jeka94

Answer:

-15

Step-by-step explanation:

7 0
3 years ago
Solve the inequality
aev [14]

Answer:

x<3

Step-by-step explanation:

4x-7<5

4x<5+7

4x<12

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3 0
3 years ago
The Copy Shop has made 20 copies of a document for you. Since the defective rate is 0.1, you think there may be some defective c
Pepsi [2]

Answer:

Binomial

There is a 34.87% probability that you will encounter neither of the defective copies among the 10 you examine.

Step-by-step explanation:

For each copy of the document, there are only two possible outcomes. Either it is defective, or it is not. This means that we can solve this problem using the binomial probability distribution.

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 combinatios 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.

In this problem

Of the 20 copies, 2 are defective, so p = \frac{2}{20} = 0.1.

What is the probability that you will encounter neither of the defective copies among the 10 you examine?

This is P(X = 0) when n = 10.

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

P(X = 0) = C_{10,0}.(0.1)^{0}.(0.9)^{10} = 0.3487

There is a 34.87% probability that you will encounter neither of the defective copies among the 10 you examine.

8 0
3 years ago
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