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alukav5142 [94]
3 years ago
15

Solve the following equation by factorisation 1 /x - 3 + 2 /x- 2 = 8 /x where x not equal to 0, 2, 3

Mathematics
1 answer:
schepotkina [342]3 years ago
8 0

Answer:

x=−1

Step-by-step explanation:

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How do I apply the distributive property to create an equivalent expression for 4(x - 2 + y)
hram777 [196]

Answer:

4x - 8 + 4y

Step-by-step explanation:

Given

4(x - 2 + y) ← multiply each term in the parenthesis by 4 ( distributive law )

= 4x - 8 + 4y

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3 years ago
I am thinking of n consecutive positive integers, the smallest of which is m. What formula represents the largest of these integ
weqwewe [10]

Answer:

m+n-1

Step-by-step explanation:

I am thinking of n consecutive positive integers. The smallest of these numbers is m.

So,

  • a_1=m - the first number,
  • a_2=m+1 - the second number,
  • a_3=m+2 - the third number,
  • ...
  • a_n=m+(n-1)=m+n-1 - the nth number.

The list of n consecutive positive integers is

m, \ m+1,\ m+2,\ m+3, \ ... ,\ m+n-1

The largest integer is m+n-1

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3 years ago
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The graph below represents the system of equations 3x + 4y = 12 and 2x – y = 8.
slava [35]
The answer is (4,0).
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LAST ATTEMPT MARKING AS BRAINLIEST!! (Pythagorean theorem )
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The firm is requested to send 3 employees who have positive indications of asbestos on to a medical center for further testing.
Rus_ich [418]

Answer:

0.0645 = 6.45% probability that exactly 10 employees will be tested in order to find 3 positives

Step-by-step explanation:

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.

40% of the employees have positive indications of asbestos in their lungs

This means that p = 0.4

a) Find the probability that exactly 10 employees will be tested in order to find 3 positives

2 within the first 9(P(X = 2) when n = 9), and the 10th, with 0.4 probability. So

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

P(X = 2) = C_{9,2}.(0.4)^{2}.(0.6)^{7} = 0.1612

0.4*0.1612 = 0.0645

0.0645 = 6.45% probability that exactly 10 employees will be tested in order to find 3 positives

4 0
3 years ago
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