In: Math
Here is a simple probability model for multiple-choice tests. Suppose that each student has probability p of correctly answering a question chosen at random from a universe of possible questions. (A strong student has a higher p than a weak student.) The correctness of answers to different questions are independent. Jodi is a good student for whom p = 0.82.
(a) Use the Normal approximation to find the probability that
Jodi scores 77% or lower on a 100-question test. (Round your answer
to four decimal places.)
(b) If the test contains 250 questions, what is the probability
that Jodi will score 77% or lower? (Use the normal approximation.
Round your answer to four decimal places.)
(c) How many questions must the test contain in order to reduce the
standard deviation of Jodi's proportion of correct answers to half
its value for a 100-item test?
questions
(d) Laura is a weaker student for whom p = 0.77. Does the
answer you gave in (c) for standard deviation of Jodi's score apply
to Laura's standard deviation also?
Yes, the smaller p for Laura has no effect on the relationship between the number of questions and the standard deviation.No, the smaller p for Laura alters the relationship between the number of questions and the standard deviation
(a) As we known that by central limit theorem, binomial distribution is tends to normal approximation as n is large.
Here, n = 100, p = 0.82, np>10, So we use the normal approximation to find the probability.
The mean and standard deviation is
the probability that Jodi scores 77% or lower on a 100-question test is
x =0.77*100 =77
(b) If the test contains 250 questions,'
he mean and standard deviation is
the probability that Jodi will score 77% or lower
(c) The standard deviation for proportions (not counts) in the 100 question test is 0.03841.
he test contain in order to reduce the standard deviation of Jodi's proportion of correct answers to half its value for a 100-item test is
(d) Laura is a weaker student for whom p = 0.77. Yes, the smaller p for Laura has no effect on the relationship between the number of questions and the standard deviation.