Answer:
Sometimes the form factor can be determined without opening the case and the form factor can be predicted on the basis of the shape of the case.
But, since the mother board is must to determine a form factor, you have to open the case before you can determine the form factor. Unless the manufacturer tags the details of the motherboard outside the case which is very rare to see. Also most cases easily show the type but that is not enough to determine the form factor.
Let us say that:
K = age of Kristen
B = age of Ben
From the problem, we make the equations:
eqtn 1: K + B = 32
eqtn 2: (K – 4) = 2 (B – 4)
Simplifying eqtn 2:
K – 4 = 2 B – 8
K = 2 B – 4
Plugging in this to eqtn 2:
(2 B – 4) + B = 32
3 B – 4 = 32
3 B = 36
B = 12
From eqtn 2:
K = 2 B – 4 = 2 (12) – 4 = 20
So Kristen is 20 while Ben is 12.
Answer:
a) 81.5%
b) 95%
c) 75%
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 266 days
Standard Deviation, σ = 15 days
We are given that the distribution of length of human pregnancies is a bell shaped distribution that is a normal distribution.
Formula:
![z_{score} = \displaystyle\frac{x-\mu}{\sigma}](https://tex.z-dn.net/?f=z_%7Bscore%7D%20%3D%20%5Cdisplaystyle%5Cfrac%7Bx-%5Cmu%7D%7B%5Csigma%7D)
a) P(between 236 and 281 days)
![P(236 \leq x \leq 281)\\\\= P(\displaystyle\frac{236 - 266}{15} \leq z \leq \displaystyle\frac{281-266}{15})\\\\= P(-2 \leq z \leq 1)\\\\= P(z \leq 1) - P(z < -2)\\= 0.838 - 0.023 = 0.815 = 81.5\%](https://tex.z-dn.net/?f=P%28236%20%5Cleq%20x%20%5Cleq%20281%29%5C%5C%5C%5C%3D%20P%28%5Cdisplaystyle%5Cfrac%7B236%20-%20266%7D%7B15%7D%20%5Cleq%20z%20%5Cleq%20%5Cdisplaystyle%5Cfrac%7B281-266%7D%7B15%7D%29%5C%5C%5C%5C%3D%20P%28-2%20%5Cleq%20z%20%5Cleq%201%29%5C%5C%5C%5C%3D%20P%28z%20%5Cleq%201%29%20-%20P%28z%20%3C%20-2%29%5C%5C%3D%200.838%20-%200.023%20%3D%200.815%20%3D%2081.5%5C%25)
b) a) P(last between 236 and 296)
![P(236 \leq x \leq 281)\\\\= P(\displaystyle\frac{236 - 266}{15} \leq z \leq \displaystyle\frac{296-266}{15})\\\\= P(-2 \leq z \leq 2)\\\\= P(z \leq 2) - P(z < -2)\\= 0.973 - 0.023 = 0.95 = 95\%](https://tex.z-dn.net/?f=P%28236%20%5Cleq%20x%20%5Cleq%20281%29%5C%5C%5C%5C%3D%20P%28%5Cdisplaystyle%5Cfrac%7B236%20-%20266%7D%7B15%7D%20%5Cleq%20z%20%5Cleq%20%5Cdisplaystyle%5Cfrac%7B296-266%7D%7B15%7D%29%5C%5C%5C%5C%3D%20P%28-2%20%5Cleq%20z%20%5Cleq%202%29%5C%5C%5C%5C%3D%20P%28z%20%5Cleq%202%29%20-%20P%28z%20%3C%20-2%29%5C%5C%3D%200.973%20-%200.023%20%3D%200.95%20%3D%2095%5C%25)
c) If the data is not normally distributed.
Then, according to Chebyshev's theorem, at least
data lies within k standard deviation of mean.
For k = 2
![1-\dfrac{1}{(2)^2} = 75\%](https://tex.z-dn.net/?f=1-%5Cdfrac%7B1%7D%7B%282%29%5E2%7D%20%3D%2075%5C%25)
Atleast 75% of data lies within two standard deviation for a non normal data.
Thus, atleast 75% of pregnancies last between 236 and 296 days approximately.
Answer: Many numbers get ready to write
Step-by-step explanation:
1,30,2,15,3,10,5,6
That is about it I think
For the equation
.. x - y = 4
you can divide by 4 to put the equation into intercept form. This form shows you both interecepts at once.
.. x/4 +y/(-4) = 1
The x-intercept is (4, 0).
The y-intercept is (0, -4).
The graph is shown below.