(b) The lecturer decides to consider multiple years that they taught the module. They believe that the number of students who fail each year can be described by the binomial distribution. Discuss whether the binomial distribution is appropriate to use here. (c) The probability distribution for a binomial random variable X ~ binomial(n, p) where n is the number of trials and p the success probability, is: n! P(X = x) = k!(n – k)!* k!(n – k)!P^(1 – p)"-k Explain the role of in the equation above. (d) After looking at the results for several years they decide that the distribution X ~ binomial(20, 0.1) is appropriate for the number of students who fail the module each year. What is the mean and standard deviation of this random variable? (e) The lecturer is interested in situations when no students fail. What is the probability of this occurring.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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(b) The lecturer decides to consider multiple years that they taught the module. They
believe that the number of students who fail each year can be described by the
binomial distribution. Discuss whether the binomial distribution is appropriate to
use here.
(c) The probability distribution for a binomial random variable X ~ binomial(n, p)
where n is the number of trials and p the success probability, is:
n!
P(X = x) =
k!(n – k)[P*(1 – p)"-k
Explain the role of
n!
K(n-k)!
in the equation above.
(d) After looking at the results for several years they decide that the distribution
X ~ binomial(20, 0.1) is appropriate for the number of students who fail the module
each year. What is the mean and standard deviation of this random variable?
(e) The lecturer is interested in situations when no students fail. What is the probability
of this occurring.
Transcribed Image Text:(b) The lecturer decides to consider multiple years that they taught the module. They believe that the number of students who fail each year can be described by the binomial distribution. Discuss whether the binomial distribution is appropriate to use here. (c) The probability distribution for a binomial random variable X ~ binomial(n, p) where n is the number of trials and p the success probability, is: n! P(X = x) = k!(n – k)[P*(1 – p)"-k Explain the role of n! K(n-k)! in the equation above. (d) After looking at the results for several years they decide that the distribution X ~ binomial(20, 0.1) is appropriate for the number of students who fail the module each year. What is the mean and standard deviation of this random variable? (e) The lecturer is interested in situations when no students fail. What is the probability of this occurring.
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