Answer:
p(x >788) = 0.0351
voted voters may be less than 788
Explanation:
given data:
n =1072
p = 0.71
![\mu =n*p = 1072*0.71 = 761.12](https://img.qammunity.org/2020/formulas/mathematics/college/h9bvuo02u5g1zxeqygpy4i73ttj07849h8.png)
nq = 1072*0.29 = 310.88
using below relation
![\sigma = √(n*p*(1-p)) = 14.85](https://img.qammunity.org/2020/formulas/mathematics/college/dlytesr1p946svfcbilehggz6fs5hpu1z6.png)
as np and nq > 5, thus we can use normal approximation to binomial distribution i.e.
p(x >788) = 1 - p(x <788)
![= 1 - p( (x -\mu)/(\sigma)) < ((788 - 761.12)/(14.85))](https://img.qammunity.org/2020/formulas/mathematics/college/az0cnx5wipj877liavvnskbc57s9sw85e9.png)
= 1 - p (z <1.81)
= 1 - 0.9649 { from z tables}
p(x >788) = 0.0351
b)This suggest that there is very less chance that among 1072 randomly selected voters, at least 788 actually did vote. Actually voted voters may be less than 788