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Aleksandr [31]
3 years ago
13

WHAT IS THE DIFFERENCE BETWEEN A RELATION AND A FUNCTION?

Mathematics
2 answers:
Elodia [21]3 years ago
5 0

Answer:

Step-by-step explanation:

A relation is any set of ordered pairs. A function is a set of ordered pairs where there is only one value of \begin{align*}y\end{align*} for every value of \begin{align*}x\end{align*}

Brilliant_brown [7]3 years ago
4 0

Answer:

The Difference between a relation and a function is that a relation is a sett of "any" ordered pair. A function is a set of ordered pairs with only one value

High Hopes^^

Barry-

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Answer:

y=4x-3

Step-by-step explanation:

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The slope of the line below is 2. Which of the following is the the point-slope form of the line?
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Answer:  y + 1 = 2 (x -1)

Step-by-step explanation:

Point slope form is:

y - y1 = m (x - x1)

Point on the line is (1, -1) and slope is 2

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3 years ago
If my diameter is 19 inches what is my radius​
Masja [62]

Answer:

38

Step-by-step explanation:

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(to find the diameter, you divide the radius by 2)

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3 years ago
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.

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

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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

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4 0
2 years ago
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Answer:

D. x = 8

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