Since it’s in percents, put the percent over 100 as a fraction and simplify them. For percents that aren’t given, add the rest and subtract it from 100 and then place it as a fraction over 100
Here u gooo hope this helps
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.
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23% off is 46 because 10%is 20 so 20% is 40 and 1% is 2 because 20/10 is 2 so the answe is 46
You said that (1/2) / N = 1/3
Multiply each side by 'N' : (1/2) = 1/3 N
Multiply each side by 3 : 3/2 = N
or 1-1/2 = N .