Because it's More than a Subject
Chi-Square is an important non-parametric test and as such, rigid assumptions are necessary regarding the type of population we require only the degree of freedom for using this test. Non- parametric chi-square test can be used This test was developed by statistician “Karl Pearson”. As a test of goodness of … read more
Following are the assumptions underlying when we use method of Least Squares Assumption 1: Linear regression model The regression model is linear in the parameters i.e., Assumption 2: values are fixed in repeated sampling Values taken by the regressor are considered fixed in repeated samples. More technically, is assumed to … read more
The expected value, or mean, of a random variable is a measure of the central location for the random variable. The formula for the expected value of a discrete random variable X follows. The expected value of a discrete random variable X can be written as i.e., Properties of Mathematical … read more