Answer:
List all of the solutions.
50
k
m
=
9
m
i
n
u
t
e
s
=
14
k
m
=
Step-by-step explanation:
Hey there!
Let's take a look at this problem... Okay so for these questions there is formula known as the point-slope formula that is used...
(y - y₁) = m(x - x₁)
From here on out you substitute in your given values...
(y + 3) = -6(x + 2)
y + 3 = -6x -12
<u>y = -6x -15</u><u /> <----- That's your answer!
I hope this helped you!
<u>Please vote me for Brainliest if there is a second answer!</u><u /> ^__^
Where are the answer choices and the rest of the question?
Answer:
Lower limit: 113.28
Upper limit: 126.72
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
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.
In this problem, we have that:
![\mu = 120, \sigma = 8](https://tex.z-dn.net/?f=%5Cmu%20%3D%20120%2C%20%5Csigma%20%3D%208)
Middle 60%
So it goes from X when Z has a pvalue of 0.5 - 0.6/2 = 0.2 to X when Z has a pvalue of 0.5 + 0.6/2 = 0.8
Lower limit
X when Z has a pvalue of 0.20. So X when ![Z = -0.84](https://tex.z-dn.net/?f=Z%20%3D%20-0.84)
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![-0.84 = \frac{X - 120}{8}](https://tex.z-dn.net/?f=-0.84%20%3D%20%5Cfrac%7BX%20-%20120%7D%7B8%7D)
![X - 120 = -0.84*8](https://tex.z-dn.net/?f=X%20-%20120%20%3D%20-0.84%2A8)
![X = 113.28](https://tex.z-dn.net/?f=X%20%3D%20113.28)
Upper limit
X when Z has a pvalue of 0.80. So X when ![Z = 0.84](https://tex.z-dn.net/?f=Z%20%3D%200.84)
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![0.84 = \frac{X - 120}{8}](https://tex.z-dn.net/?f=0.84%20%3D%20%5Cfrac%7BX%20-%20120%7D%7B8%7D)
![X - 120 = 0.84*8](https://tex.z-dn.net/?f=X%20-%20120%20%3D%200.84%2A8)
![X = 126.72](https://tex.z-dn.net/?f=X%20%3D%20126.72)