Discrete Probability Distributions

A discrete probability distribution is a an assignment of probabilities to the values of a discrete random variable. Discrete probability distributions arise from either empirical data or from mathematical formula. Below is an example of a discrete probability distribution created from empirical data.

A discrete probability distribution from empirical data.

Let the random variable x be the number of newspapers sold by a certain newsboy on a given day.

xp(x)
00.10
10.12
20.35
30.20
40.15
50.08


From the table we see that the probability of the newsboy selling 2 papers is 0.35, and the probability that he will sell 4 papers is .15. It is necessary that the sum of all probabilities equal 1, otherwise the distribution is not a probability distribution.

A discrete probability distribution from mathematical formula


Let the random variable X be the number of heads obtained when one coin is tossed 3 times or 3 coins are tossed one time. From this experiment it is clear that the number of heads obtained could be none, one, two, or three.

X=[0,1,2,3]

Our next task is to assign probabilities to each value of X. Below is the sample space or the set of all possible outcomes when three coins are tossed.

coin 1coin 2coin3
HHH
HHT
HTH
HTT
THH
THT
TTH
TTT

From the table we see that getting :
exactly 3 heads (HHH) occurs in 1 way.
exactly 2 heads (HHT),(HTH),(THH) occurs in 3 ways.
exactly 1 head (HTT) , (THT),)TTH) occurs in 3 ways.
exactly 0 (TTT) heads occurs in 1 way.
there are 8 possible outcomes.
Therefore:
Prob( HHH)= 1 way / 8 ways=1/8
Prob(HH) = 3 ways/8 ways=3/8
Prob(H)=3 ways/8 ways =3/8
Prob(~H)= 1 way/8ways =1/8
The probability distribution is presented below.

xp(x)
01/8
13/8
23/8
31/8