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bazaltina [42]
3 years ago
8

3x − 6y = −12 −x + 2y = 8

Mathematics
2 answers:
AleksandrR [38]3 years ago
4 0
The answer to this question will be x=2
igor_vitrenko [27]3 years ago
3 0
The answer to this question is x=2
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Find the value of A<br> A: 18<br> B: 21<br> C: 20<br> D: 17
AnnZ [28]

These are vertical angles so they are equal so

6a +  11  = 2a + 83  

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3 years ago
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At a new exhibit in the Museum of Science, people are asked to choose between 94 or 220 random draws from a machine. The machine
Tresset [83]

Answer:

0.0869 = 8.69% probability of getting more than 61% green balls.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

The machine is known to have 99 green balls and 78 red balls.

This means that p = \frac{99}{99+78} = 0.5593

Mean and standard deviation:

\mu = p = 0.5593

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.5593*0.4407}{99+78}} = 0.0373

a. Calculate the probability of getting more than 61% green balls.

This is 1 subtracted by the pvalue of Z when X = 0.61. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.61 - 0.5593}{0.0373}

Z = 1.36

Z = 1.36 has a pvalue of 0.9131

1 - 0.9131 = 0.0869

0.0869 = 8.69% probability of getting more than 61% green balls.

8 0
3 years ago
The height of a cone-shaped container is 18 centimeters and its radius is 7 centimeters. Meg fills the container completely with
sasho [114]

Answer:

44

Step-by-step explanation:

5 0
3 years ago
Help me math is not my thing and plz tell me how you did it
mafiozo [28]
We need to get m by itself. to do that, we divide each side of the equation by -3.3. so, m = 0.333 (repeating decimal).
8 0
3 years ago
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Divide the sum of (-5), (-10) and (-9) by the product of 2 and (-3).
kaheart [24]

Answer:

\large \boxed{4}

Step-by-step explanation:

\sf The \ sum \ of \ -5, \ -10, \ and \ -9 \ is \ divided \\ by \ the \ product \ or \ multiplication \ of \ 2 \ and -3.

\displaystyle \frac{-5+-10+-9}{2 \times -3}

\displaystyle \frac{-24}{-6}

=4

6 0
3 years ago
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