This is equal to each value multiplied by its discrete probability. Well intuitively speaking the mean and variance of a probability distribution are simply the mean and variance of a sample of the probability distribution as the sample size approaches infinity. To calculate this we multiply each possible value of the variable by its probability then add the results.
The mean is the expected value of the random variable in the probability distribution.
The calculator will generate a step by step explanation along with the graphic representation of the data sets and regression line. U 60190213031604 u 6 01 9 02 13 03 16 04. Mean of the Probability Distribution Calculator. PX 1 PX 0 PX 1 025 050 075.