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2 years ago

Find the slope between (2, 10) and (9, 1). Substitute in the following numbers that are missing

Mathematics

1 answer:

nika2105 [10]2 years ago

4 0

Answer:

Rise (1-10)=-9

Run=(9-2)=7

Step-by-step explanation:

The slope is Rise/Run = -9/7

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Here's a graph of a linear function. Write the

svp [43]

First you need to find the y-intercept, which is y = -1

Next is we need to find the slope of the line > you are going to have to do this by finding to clear point

The ones that I will be using are: (3, 1); (6, 3) (You could take any points)

Now using the slope formula we could find m.

m = y2-y1 / x2-x1

(1 - 3) / (3 - 6) = m

-2 / -3 = m

m = 2/3

Using the linear function format: y = mx + b

Therefore the equation of the line is y = 2x/3 -1

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3 years ago

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3 years ago

P(x) = 3x2 - 7x + 11, find P(9).

nadya68 [22]

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3 years ago

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How many thousandths are in 4 hundredths?

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3 years ago

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Suppose there is a 14.3% probability that a randomly selected person aged 25 years or older is a In addition, there is a probab

oksian1 [2.3K]

Complete Question

Suppose there is a 14.3% probability that a randomly selected person aged 25 years or older is a jogger. In addition, there is a 52.6% probability that a randomly selected person aged 25 years or older is female, given that he or she jogs. What is the probability that a randomly selected person aged 25 years or older is female and jogs? Would it be unusual to randomly select a person aged 25 years or older who is female and jogs?

Answer:

The probability is $P(F \ n \ J ) = 0.075$

No it is not unusual

Step-by-step explanation:

From the question we are told that

The probability that a randomly selected person aged 25 or older is a jogger is

$P(J) = 0.143$

The probability that a randomly selected person aged 25 years or older is female, given that he or she jogs

$P(F | J) = 0.526$

Generally the the probability that a randomly selected person aged 25 years or older is female and jogs is mathematically evaluated using Bayes rules as follows

$P(F \ n \ J ) = P(F | J ) * P(J )$

=> $P(F \ n \ J ) = 0.526 * 0.143$

=> $P(F \ n \ J ) = 0.075$

Generally this is not unusual because value obtained is greater than 0.05

5 0

3 years ago