In order for something to be a discrete probability distribution, all probabilities must be between or equal to these two values
What is 0 and 1
100
This is the probability of a binomial distribution where the probability of success is .34, and we are looking for exactly 5 successes out of 15 trials.
What is .214
200
If you have a discrete probability distribution, all probabilities must add up to this number.
What is 1?
200
The probability that a student answered yes to the question, "do you do your homework" is 4 out of 7. This is the probability that out of 100 students 43 said they do their homework.
What is .0014
300
If the following is a discrete probability distribution, fill in the missing probability:
x=0, 1, 2, 3, 4, 5
P(x) = .12, .16, .24, .32, p?, .05
What is .11
300
The probability that one might grab an orange skittle out of a packet of skittles is 20%. If there are 24 skittles in a particular bag, this is the probability of finding at least 4 orange skittles.
What is .736
400
This is the expected number of tires that were under inflated when a mechanic checked the tire pressures on cars in one week, which resulted in the following probability distribution
x= 0, 1, 2, 3, 4
p(x) = .3, .25, .25, .15, .05
What is 1.4
400
This is the probability that more than 7 out of of 10 surgeries will be successful when the probability of having a successful surgery is 90%.
What is .93
500
This is the mean of the probability distribution below. It describes the number of televisions per household in a small town.
x= 0, 1, 2, 3
p(x) = .01, .17, .28, .54
What is 2.35
500
When the probability of single television being defective is 14%, this is the probability that, out of 20 tvs, between 8 and 13 tvs inclusive are defective.