In: Statistics and Probability
A multiple-choice quiz has 200 questions, each with 4 possible answers of which
only 1 is correct. Then the probability that sheer guesswork yields more than 30
correct answers for the 80 of the 200 problems about which the student has no
knowledge is equal to
A multiple-choice quiz has 200 questions, each with 4 possible answers of which
only 1 is correct. Then the probability that sheer guesswork yields more than 30
correct answers for the 80 of the 200 problems about which the student has no
knowledge is equal to
Answer :
we can use here binomial distribution :
The probability of correct answer is 1/4 = 0.25
( that is here we have 4 possible answer so each have same probability )
n = 200 ( sample size )
Therefore x = correct answer = follow binomial distribution with n and p ie ( n = 200 , p = 0.25)
We have to find probability for sheer guesswork yields more than 30 correct answers for the 80 of the 200 problems about which the student has no knowledge ,
ie P ( x > 30 )
here n is large so we can use approximation of binomial distribution to the normal distribution .
E (x ) = mean of x = n * p = 200 * 0.25 = 20
and V( x ) = variance of x = n * p * q where q = 1 - p
= 200 * 0.25 * 0.75 = 15.5
SD ( x ) = standard deviation of x = sqrt ( V (x )) = sqrt ( 15.5 ) = 3.94
we can say x follows normal distribution with mean 20 and standard deviation is equal to 3.94
now probability ,
P ( x > 30 ) we know that z = ( ( x - mean ) / standard deviation) follow standard normal distribution
= P ( z > ( 30 - 20 ) / 3.94 )
= P ( z > 10 / 3.94 )
= P ( z > 2.5381 )
now use z score table
= 1 - P ( z < 2.5381 )
= 1 - 0.9945
= 0.0055