Do not know sorry or not I will send
Answer:
Step-by-step explanation:
This is a linear function with y-intercept (0, 8) and slope 2.5.
Answer: C. 
Step-by-step explanation:
Let x be the binomial variable that denotes the number of makes.
Since each throw is independent from the other throw , so we can say it follows Binomial distribution .
So 
Binomial distribution formula: The probability of getting x success in n trials :
, where p = probability of getting success in each trial.
Then, the probability of Michael Beasley making all of his next 4 free throw attempts will be :

![=(1)(0.75)^4(1)\ \ [\because\ ^nC_n=1]\\\\=(0.75)^4](https://tex.z-dn.net/?f=%3D%281%29%280.75%29%5E4%281%29%5C%20%5C%20%5B%5Cbecause%5C%20%5EnC_n%3D1%5D%5C%5C%5C%5C%3D%280.75%29%5E4)
Thus, the probability of Michael Beasley making all of his next 4 free throw attempts is 
Hence, the correct answer is C.
.
Answer:
The correct answer is E.
Step-by-step explanation:
First I look for the relationships between the coefficients. The first term corresponds to the base value.

The second term corresponds to the value obtained when the density of the underlying material is doubled and the daily usage of the equipment is halved.

With the I get the ratio of coefficients of
:
= 8
= 64
Now I calculate the percentage increase in the useful life of the equipment as:
% =
* %100 = %800