The probability that the student will pass the test is 0.057
In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli,[1] is the discrete probability distribution of a random variable which takes the value 1 with probability [tex]p[/tex] and the value 0 with probability [tex]{\displaystyle q=1-p}[/tex]. Less formally, it can be thought of as a model for the set of possible outcomes of any single experiment that asks a yes–no question. Such questions lead to outcomes that are boolean-valued: a single bit whose value is success/yes/true/one with probability p and failure/no/false/zero with probability q.
The student will pass if he at least answers 14 questions correctly .
This can be written as a Bernoulli distribution function [tex]P(Q=i)= 20C_{i} (\frac{1}{2} )^i(1-\frac{1}{2} )^(20-i)[/tex]
P(Q≥ 14) = P(Q=14) + P(Q=15) + P(Q=16) +P(Q=17) + P(Q=18)+ P(Q=19) + P(Q=20)
P(Q=14) = 20[tex]C_{14}[/tex][tex](1/2)^{20}[/tex]
P(Q=15) = 20[tex]C_{15}[/tex][tex](1/2)^{20}[/tex]
P(Q=16) = 20[tex]C_{16}[/tex][tex](1/2)^{20}[/tex]
P(Q=17) = 20[tex]C_{17}[/tex][tex](1/2)^{20}[/tex]
P(Q=18) = 20[tex]C_{18}[/tex][tex](1/2)^{20}[/tex]
P(Q=19) = 20[tex]C_{19}[/tex][tex](1/2)^{20}[/tex]
P(Q=20) = [tex]20C_{20}(1/2)^{20}[/tex]
On summing up all we get,
P(Q≥ 14) = (38760 + 15504 + 4845+ 1140 + 190 + 20 + 1)/2^(20)
= 15115/262144=0.057
Thus the probability that the student will pass the test is 0.057
Learn more about Bernoulli distribution here :
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