Statistics W2A1:
Part 1
Provide an example of a probability distribution that has four distinct outcomes. In this example, please identify the outcome and the probability of that outcome occurring.
Part 2
A die is rolled 20 times and the number of “fives” that occur is reported as being the random variable. Is this a binomial random variable? Why or why not
Please answer thoroughly!
Ans.
Part1.
Suppose we have a fair die of four faces with numbers on the faces 1, 2, 3, 4.
When throughing such die, then the sample space is given by
S = ( 1, 2, 3, 4 )
Let X be the number on the upper face of the die, then it's probability distribution is given by
P(X = i) = 1/4 = 0.25, for i = 1,2,3,4
Which is pmf of the discrete uniform distribution since all the outcomes are equally likely.
Part2.
Suppose we have a fair die of six faces with numbers on the faces are 1,2,3,4,5,6.
When throughing such die then the sample space is given by
S = (1,2,3,4,5,6)
Since this experiment is repeated 20 times, each trail is independently ferfom with constant probability of success
p = p(five) = 1/6
Let X be the number of five
Since we have n = 20 independent trials each with constant probability of success p = 1/6 and the probability of failure
q = 1 - p = 5/6
Then the random variable Xhas binomial distribution with parameters n= 20 and p = 1/6.
Statistics W2A1: Part 1 Provide an example of a probability distribution that has four distinct outcomes....
Statistics W2A1: Part 1 Provide an example of a probability distribution that has four distinct outcomes. In this example, please identify the outcome and the probability of that outcome occurring. Part 2 A die is rolled 20 times and the number of “fives” that occur is reported as being the random variable. Is this a binomial random variable? Why or why not Please answer thoroughly!
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