Provide an example of what differentiates a Solution Let\'s use an example, say tossing a die. The sample space is {1,2,3,4,5,6}. Each event within the sample space has a \"probability\" equal to 1/6 (assuming of course that the die is fair). Now, the \"probability distribution\" consists of ALL the possible events in the sample space and the respective probabilities for each event must add up to 1. In our example, the probability distribution is: P(1) + P(2) + ... + P(6) = 1.00 So, a probability is associated with a single event whereas a probability distribution must encompass all possible events and will sum to 1. Hope that helped.