Question 1:
A bin of 100 travel clocks are tested to see if they work
properly, knowing that 5% of them are defective. The clocks are
checked until a defective clock is found.
a) Explain why this situation cannot be modelled
using a binomial distribution.
b) Describe how to change this situation so that
it can be modelled using a binomial distribution.
Question 2:
Model each of the following situations using a binomial
distribution. Identify the discrete random variable, X;
the number of trials, n; the probability of success,
p; and the probability of failure, q, in any
trial.
a) A game consists of rolling a die eight times.
You win if the result is 5 or 6. You record the number of
wins.
b) A stand of 500 trees is infected by a
particular insect. The chance of survival is 30%. The number of
surviving trees is recorded.
Question 1:
(a)
This situation cannot be modeled using a binomial distribution
because the Total number of trials is not constant, since the
experiment is stopped when a defective clock is found.
(b)
We can change the situation as follows
A bin of 100 travel clocks are having 5% defective. 10 clocks are selected. and number of defectives are noted.
Here
n = 10
p =0.05
q = 1 - p = 0.95
Question 2:
(a)
Discrete Random Variable = X = getting 5 or 6
Number of trials = 8
Probability of success = 1/3
probability of failure = 2/3
(b)
Discrete Random Variable = X = Surviving of a tree
Number of trials = 500
Probability of success = 0.30
Probability of failure = 0.70
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