(a)
To calculate: Explain why the probability model for X is not binomial.
X is not binary.
Given information:
Rolled a single 6-sided die.
Formula used:
Here, E is the favourable outcomes and S is the total possible outcomes.
Calculation:
The four conditions for a binomial setting are:
binary (success/failure), independent trials, fixed number of trials and probability of success is the same for each trial.
Binary: Not satisfied, because there are 6 possible numbers that can come up when rolling a 6-sided die.
Independent trials: Satisfied, because one roll of a die does not affect other rolls.
Fixed number of trials: Satisfied, because we roll a single 6-sided die and thus the fixed number of trials is 1.
Probability of success: Satisfied, because there is a
Hence, the binary condition is not satisfied, the given scenario does not describe a binomial setting.
(b)
To calculate: A random variable that would have a binomial probability model.
Answer could vary.
Given information:
Rolled a single 6-sided die.
Formula used:
Here, E is the favourable outcomes and S is the total possible outcomes.
Calculation:
A random variable with relation to rolling a die such that the random variable is binomial.
For example,
Let us consider the random variable:
Y =Number of 1's among 10 rolls of a 6-sided die.
The four conditions for a binomial setting are:
Binary (success/failure), independent trials, fixed number of trials and probability of success is the same for each trial.
Binary: Not satisfied, because there are 6 possible numbers that can come up when rolling a 6-sided die.
Independent trials: Satisfied, because one roll of a die does not affect other rolls of the die.
Fixed number of trials: Satisfied, because we roll the die 10 times and thus the fixed number of trials is 10.
Probability of success: Satisfied, because there is a
Since all 4 conditions are satisfied, the given scenario describes a binomial setting.
Answers could vary
Chapter 10 Solutions
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