NO. they are not. Nothing in this question or sentences make sense to a linear pair.
Answer:
The slope is m=0
Explanation:But since the y-coordinates of the points are equal, we can find the slope easier than just by using above formula.
Explanation:But since the y-coordinates of the points are equal, we can find the slope easier than just by using above formula.If y-coordinates are equal and x-coordinates are not equal (as in our case), then the slope equals 00 (the line is horizontal).
Answer:
16
Step-by-step explanation:
The equation is 3/4x=12, so you would just divide 12 by 3/4 to get 16 as x
The correct option is: a female who weighs 1500 g
<em><u>Explanation</u></em>
<u>Formula for finding the z-score</u> is: ![z= \frac{X-\mu}{\sigma}](https://tex.z-dn.net/?f=z%3D%20%5Cfrac%7BX-%5Cmu%7D%7B%5Csigma%7D)
Newborn males have weights with a mean
of 3272.8 g and a standard deviation
of 660.2 g.
So, the z-score for the newborn male who weighs 1500 g will be.......
![z(X=1500)=\frac{1500-3272.8}{660.2}=-2.685... \approx -2.69](https://tex.z-dn.net/?f=z%28X%3D1500%29%3D%5Cfrac%7B1500-3272.8%7D%7B660.2%7D%3D-2.685...%20%5Capprox%20-2.69)
According to the normal distribution table, ![P(z=-2.69)=0.0036 = 0.36\%](https://tex.z-dn.net/?f=P%28z%3D-2.69%29%3D0.0036%20%3D%200.36%5C%25)
Now, newborn females have weights with a mean
of 3037.1 g and a standard deviation
of 706.3 g.
So, the z-score for the newborn female who weighs 1500 g will be.......
![z(X=1500)=\frac{1500-3037.1}{706.3}=-2.176... \approx -2.18](https://tex.z-dn.net/?f=z%28X%3D1500%29%3D%5Cfrac%7B1500-3037.1%7D%7B706.3%7D%3D-2.176...%20%5Capprox%20-2.18)
According to the normal distribution table, ![P(z=-2.18)=0.0146 = 1.46\%](https://tex.z-dn.net/?f=P%28z%3D-2.18%29%3D0.0146%20%3D%201.46%5C%25)
As we can see that the <u>probability that a newborn female has weight of 1500 g is greater than newborn male</u>, so a newborn female has the weight of 1500 g that is more extreme relative to the group from which he came.
1 penny = 0.005 ft
total amt of pennies = 1264/0.005 = 252800 pennies