mean,mode and variance
corelation==>x is independent y is dependent Regression==>x is dependent y is independent Normal distributions are symmetric , unimodal , and asymptotic , and the mean , median , and mode are all equal. mean(xbar) == avg. of numbers/n; variance(sigma^2)== summation(x-xbar)^2/n; sd(sigma)==sqrt(varinace) Another name for the mean of a probability distribution is expected value Adding a constant to each value in a data set does not change the distance between values so the standard deviation remains the same. Three of the most popular methods of estimation are: The method of moments (MM) The method of maximum likelihood (ML) Bayesian method Regression is a data mining technique used to predict a range of numeric values (also called continuous values), The histogram for the data: 4; 5; 6; 6; 6; 7; 7; 7; 7; 8 is not symmetric...