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weqwewe [10]
3 years ago
8

Find the slope of the line through p(-9,-3) and q(-5,-15)

Mathematics
2 answers:
irina [24]3 years ago
4 0
Slope = (-3 - (-15))/(-9 - (-5)) = - 12/4 = -3
timama [110]3 years ago
4 0
The slope would be -3 , hope that helps
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Answer this please !
SpyIntel [72]

Answer:

6

Step-by-step explanation:

\frac{y}{2} =x^{2} -7

\frac{a}{2} =2^{2} -7

\frac{a}{2} =-3

a=-6

\frac{b}{2} =1^{2} -7

\frac{b}{2} =-6

b=-12

From the calculations above, we learn that line l and the curve intersect at (2, -6) and (1, -12). Next, we will set up a system of linear equations to solve for the slope and the y-intercept of line l.

-6=2m+b        

-12=m+b

-24=2m+2b

18=-b

b=-18

-12=m-18

m=6

Therefore, the slope of line l is 6.

3 0
2 years ago
Read 2 more answers
The operation manager at a tire manufacturing company believes that the mean mileage of a tire is 48,564 miles, with a standard
DerKrebs [107]

Answer:

0.0091 = 0.91% probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct

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 normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, 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 random variable X, with mean \mu and standard deviation \sigma, the sample means with size n of at least 30 can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 48564, \sigma = 3293, n = 281, s = \frac{3293}{\sqrt{281}} = 196.44

What is the probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct?

This is the pvalue of Z when X = 48101. So

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

By the Central Limit Theorem

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

Z = \frac{48101 - 48564}{196.44}

Z = -2.36

Z = -2.36 has a pvalue of 0.0091

0.0091 = 0.91% probability that the sample mean would be less than 48,101 miles in a sample of 281 tires if the manager is correct

6 0
3 years ago
39.76 divided by 2.8
denpristay [2]

Answer:

14.2

Step-by-step explanation:

6 0
3 years ago
Which of the following is NOT a topic that you will learn about with matrices in this lesson? Addition Multiplication Interpreta
KatRina [158]
Addition

No need for stepppls it
6 0
3 years ago
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What is 1/6 divided by 1/2
Blababa [14]

Answer:

The answer is 3

Step-by-step explanation:

I put the answer simplified if needed.

8 0
2 years ago
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