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Gnoma [55]
2 years ago
9

Simplify. 3√-50 Enter your answer, in simplest radical form, in the box.

Mathematics
1 answer:
OleMash [197]2 years ago
5 0
You cant square root a negative
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Rate my handwriting 1-10
Anon25 [30]

Answer:

8

Step-by-step explanation:

5 0
2 years ago
For the straight line defined by the points (2,55) and (4, 87), determine the slope (m) and y-intercept?
mamaluj [8]

Answer:

Slope(m) = 16

Y intercept (c) = 23

Step-by-step explanation:

Given:

Points : (x1, y1) = (2, 55)

           (x2, y2) = (4, 87)

Using two point form to calculate slope:

m = \frac{y2-y1}{x2-x1}

m = \frac{87-55}{4-2}

      m = 16

To find y intercept:

Take any one point ans slope :

Using slope point formula:

y = mx + c

87 = 16(4) + c

Solving for c:

c = 23

8 0
3 years ago
Which expression is equivalent to -8?
torisob [31]

2/8 I think....:| :|○~○

7 0
3 years ago
Among 9 electrical components exactly one is known not to function properly. if 4 components are randomly selected, find the pro
seraphim [82]

Answer:

0.4444

Step-by-step explanation:

Use the following property to ease the calculation:

P(At least one)=1-P(None)

Total number of electrical components: 9

Number that does not function well :1

Number that functions well : 8

We have ^8C_4=70 ways to to choose 4 good components from 8.

We have ^9C_4=126 ways to choose 4 components from a total of 9.

If all function properly then none is bad, we ^1C_0=1 way to do this.

P(At least one)=1-\frac{^8C_4*^1C_0}{^9C_4}

P(At least one)=1-\frac{70*1}{126}

P(At least one)=0.4444

4 0
2 years ago
Read 2 more answers
Monte carlo simulation generates many outcomes that are organized into a frequency distribution.
nalin [4]

The statement is True, Monte Carlo simulation generate many outcomes that are organized into a frequency distribution.

Monte Carlo simulation

  • When the possibility of random variables is available, a Monte Carlo simulation is a model that is used to forecast the likelihood of a variety of events. Monte Carlo simulations assist in illuminating how risk and uncertainty affect forecasting and prediction models

  • The potential accuracy of a Monte Carlo simulation is roughly 4%, which is still higher than the 1% accuracy stated by SAMPLE, even for a random function with a 3 error factor.

Learn more about Monte Carlo simulation here: brainly.com/question/14332670

#SPJ4

3 0
2 years ago
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