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Marat540 [252]
3 years ago
13

−8−minus, 8, minus = 2 =2equals, 2

Mathematics
2 answers:
Vlad1618 [11]3 years ago
6 0

Answer:

to the first one the answer is 0. To the number 2 the answer is 2

nordsb [41]3 years ago
3 0

Answer:

(−10)

Step-by-step explanation:

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Divide 83.524 by pi then take half of that answer .
the answer should be 13.29 or 13.3
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The quotient of two and five times a number
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Answer: 2 / 5x
Explanation:
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Write the equation of the vertical line that contains (5,-4)
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Annual starting salaries in a certain region of the U. S. for college graduates with an engineering major are normally distribut
defon

Answer:

0.8665 = 86.65% probability that the sample mean would be at least $39000

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.

Mean $39725 and standard deviation $7320.

This means that \mu = 39725, \sigma = 7320

Sample of 125:

This means that n = 125, s = \frac{7320}{\sqrt{125}} = 654.72

The probability that the sample mean would be at least $39000 is about?

This is 1 subtracted by the pvalue of Z when X = 39000. So

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

By the Central Limit Theorem

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

Z = \frac{39000 - 39725}{654.72}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335

1 - 0.1335 = 0.8665

0.8665 = 86.65% probability that the sample mean would be at least $39000

4 0
3 years ago
Sixty-five percent of men consider themselves knowledgeable soccer fans. If 10 men are randomly​ selected, find the probability
alexira [117]

Answer:

.252

Step-by-step explanation:

{10\choose7}*.65^7*(1-.65)^3=.252219625

3 0
3 years ago
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