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SVETLANKA909090 [29]
3 years ago
7

The pair of points (-4, y) and (5, 7) lie on a line with slope 1/3 What is the value of y? You must show all of your work to rec

eive credit please help me
Mathematics
1 answer:
Svetradugi [14.3K]3 years ago
5 0

Answer:

Go back to connections accademy

Step-by-step explanation:

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Solve the following inequality, algebra 1. <br><br> will give brainliest answer !!
satela [25.4K]

Answer:

See below

Step-by-step explanation:

r/6 <-6      multiply both sides by 6 to get

<u>r < - 36 </u>

<u />

  <u> or</u>    4r+2 > 18     subtract 2 from both sides of the equation

            4r > 16        divide both sides by 4

            <u>  r > 4 </u>

6 0
1 year ago
Read 2 more answers
Ifyou are asked to solve a system ofequations in which there is no linear equation to start with, you can sometimes begin by iso
maw [93]
What you typped is correct
7 0
3 years ago
Help please geometry !
Leona [35]
If you use the same technique from the first question, you can do:

5x+2=3x+42
2x=40
x=20

For the rest of the questions, please use the same technique if they are vertical because I can't solve all of the questions for you sorry.
4 0
3 years ago
A tire manufacturer warranties its tires to last at least 20,000 miles orâ "you get a new set ofâ tires." In itsâ experience, a
Y_Kistochka [10]

Answer:

Probability that a set of tires wears out before 20,000 miles is 0.1151.

Step-by-step explanation:

We are given that a tire manufacturer warranties its tires to last at least 20,000 miles or "you get a new set of tires." In its past experience, a set of these tires last on average 26,000 miles with S.D. 5,000 miles. Assume that the wear is normally distributed.

<em>Let X = wearing of tires</em>

So, X ~ N(\mu=26,000,\sigma^{2}=5,000^{2})

Now, the z score probability distribution is given by;

         Z = \frac{X-\mu}{\sigma} ~ N(0,1)

where, \mu = average lasting of tires = 26,000 miles

            \sigma = standard deviation = 5,000 miles

So, probability that a set of tires wears out before 20,000 miles is given by = P(X < 20,000 miles)

    P(X < 20,000) = P( \frac{X-\mu}{\sigma} < \frac{20,000-26,000}{5,000} ) = P(Z < -1.2) = 1 - P(Z \leq 1.2)

                                                                    = 1 - 0.88493 = 0.1151

Therefore, probability that a set of tires wears out before 20,000 miles is 0.1151.

4 0
3 years ago
NEED HELP FAST 2020 algebra 1 interim or just this one question
geniusboy [140]

Answer: I think it's b

Step-by-step explanation:

8 0
3 years ago
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