a) From the table,
We need to create a probability distribution table.
Let x be the number of points scored.
The total number of games he played is 50.
So,
![\begin{gathered} P\mleft(x=1\mright)=(12)/(50) \\ =0.24 \\ P(x=2)=(10)/(50) \\ =0.2 \\ P(x=3)=(18)/(50) \\ =0.36 \\ P(x=4)=(4)/(50) \\ =0.08 \\ P(x=5)=(6)/(50) \\ =0.12 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/v7varukeoxpncp0vmdccv2lyd91h4jm6x2.png)
Hence, the probability distribution table is,
b)
To find the probability of the Bearcats scoring 4 points:
P(X=4)=0.08
Hence, the probability of the Bearcats scoring 4 points is 0.08.
c)
To find the probability of the Bearcats scoring more than 1 point:
![\begin{gathered} P\mleft(X>1\mright)=P\mleft(x=2\mright)+P\mleft(x=3\mright)+P\mleft(x=4\mright)+P\mleft(x=5\mright) \\ =0.20+0.36+0.08+0.12 \\ =0.76 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/qw3ocqyy74yo61544s59bfo5clrueel9g3.png)
Hence, the probability of the Bearcats scoring more than 1 point is 0.76.
d) To find the expected value of the number of points:
![\begin{gathered} E(x)=\sum ^{}_{}xP(x) \\ =1(0.24)+2(0.20)+3(0.36)+4(0.08)+5(0.12) \\ =0.24+0.40+1.08+0.32+0.60_{} \\ =2.64 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/5az8i8p7lo88z6vsrilij7ftj9stxqchpy.png)
Hence, the expected value is 2.64.