Bagustcx

X represents the random variable X P (X) represents the probability of X P (X = x) refers to the probability that the random variable X is equal to a particular value, denoted by x As an example, P (X = 1) refers to the probability that the random variable X is equal to 1So if a data set has 10 values, the sum of the 10 values must equal the mean x 10 If the mean of the 10 values is 35 (you could pick any number), this constraint requires that the sum of the 10 values must equal 10 x 35 = 35 With that constraint, the first value in the data set is free to varyThe mean is the Sum of (X × P(X)) μ = 36 The variance is the Sum of (X 2 × P(X)) minus Mean 2 Variance Lesson Plan Statistics And Probability Cot 3 Variance Standard Deviation What does p= mean in statistics