Answer
A) No
B) Yes
C) No
D) No.
E) Yes
Work Step by Step
For all the answers above:
A Bernoulli trial must meet all 3 criteria: Binary (there are only two possible outcomes), Independent (each trial is independent of one another or we "pretend" they are by applying the 10% rule*), and Probability of Success (The probability of success is constant between each trial.
If a situation meets all of these criteria, it is a Bernoulli trial.
*Note: The 10% rule is only applicable if the population of interest is large*
So we have:
A) This does not represent a Bernoulli Trial because there is no measure of binary outcomes.
B) This does represent a Bernoulli trial because this example meets all 3 criteria that characterizes a Bernoulli trial.
C) This does not represent a Bernoulli Trial because the trials aren't independent of each other.
D) This is not a Bernoulli trial because we are not applying the 10% rule when we look at the "Independent" criteria of being a Bernoulli trial.
E) This is a Bernoulli trial as it meets all 3 criteria.
