The Binomial probability distribution is given by:
[tex]\begin{gathered} P(x)=n_{C_xP^x(1-P)^{n-x}}_{}_{} \\ \text{where:} \\ n\colon\text{ number of trials or }the\text{ number being sampled} \\ x\colon\text{ number of successes desired} \\ P\colon Probability\text{ of getting a success in one trial} \\ (1-P)\colon Probability\text{ of getting a failure in one trial} \end{gathered}[/tex]
From the question, we have the following:
[tex]\begin{gathered} P=79\text{\%=0.79, I-P=1-0.79=0.21} \\ n=41 \end{gathered}[/tex]
a) Exactly 30 of them.
[tex]\begin{gathered} P(30)=41_{C_{30}}(0.79)^{30}(0.21)^{41-30} \\ P(30)=0.094 \end{gathered}[/tex]
b) At most 33 people
[tex]\begin{gathered} P(x\leq33)=1-P(x\ge34) \\ P(x\leq33)=1-\mleft\lbrace P(x=34\mright)+P(x=35)+P(x=36)+P(x=37)+P(x=38)+P(x=39)+P(x=40)+P(x=41)\} \end{gathered}[/tex][tex]\begin{gathered} P(x\leq33)=1-(0.1338+0.1007+0.0631+0.0321+0.0127+0.0036+0.00069+0.0000634 \\ P(x\leq33)=1-0.3467 \\ P(x\leq33)=0.6532 \end{gathered}[/tex]
c) At least 34 people
[tex]P(x\ge34)=P(x=34)+P(x=35)+P(x=36)+P(x=37)+P(x=38)+P(x=39)+P(x=40)+P(x=41)[/tex][tex]\begin{gathered} P(x\ge34)=0.1338+0.1007+0.0631+0.0321+0.0127+0.0036+0.00069+0.0000634 \\ P(x\ge34)=0.3467 \end{gathered}[/tex]
d) Between 28 and 33 (including 28 and 33)
[tex]\begin{gathered} P(28\leq x\leq33)=P(x=28)+P(x=29)+P(x=30)+P(x=31)+P(x=32)+P(x=33) \\ P(28\leq x\leq33)=0.0370+0.0624+0.0939+0.1253+0.1474+0.1512 \\ P(28\leq x\leq33)=0.6172 \end{gathered}[/tex]