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In a frequency distribution table, the cumulative frequency means the total of all the frequencies of the current and previous class intervals. The distribution table that is so obtained is called a cumulative frequency...

A lurking variable in statistics is a “hidden” variable that we have failed to consider in our model but which has an effect on the response variable. The word "lurking" literally suggests that the...

The binomial and normal distributions are probability distributions that have a wide range of applications in statistics and real life. The main differences between the binomial and normal distributions are the following. 1) Discrete vs...

A criterion variable is nothing but the dependent variable. As the name suggests the value of the dependent/criterion variable depends on the value of the independent/predictor variable. The predictor variables are the independent variables and...

The class midpoint is defined to be the average of the upper and lower values of a given class interval. The class midpoint can be calculated using the formula, Class Midpoint = (Upper class boundary...

An intervening variable in statistics and psychology is a variable that acts as the link between the independent and dependent variables. The independent variable causes a change in the intervening variable, which in turn...

We can calculate the residual value in regression analysis using the formula: Residual = Actual value - Predicted Value. We can find the predicted value of the dependent variable using the formula: Y = β1X + β0. Here,...

The main difference between R and R2 is the following: The quantity R is the Karl Pearson coefficient of correlation and it measures the degree of correlation between two variables X and Y.The quantity R2...