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,
[tex]\begin{gathered} P\mleft(x=1\mright)=\frac{12}{50} \\ =0.24 \\ P(x=2)=\frac{10}{50} \\ =0.2 \\ P(x=3)=\frac{18}{50} \\ =0.36 \\ P(x=4)=\frac{4}{50} \\ =0.08 \\ P(x=5)=\frac{6}{50} \\ =0.12 \end{gathered}[/tex]
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:
[tex]\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}[/tex]
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:
[tex]\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}[/tex]
Hence, the expected value is 2.64.