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.
.