Introduction to ANOVA #1

ANOVA stands for Analysis of Variance. This is a collection of statistical methods used in experiments that contain multiple treatments and groups. The populations of the samples of collected data may not follow normal distribution curve. Experimental Design For every ANOVA test, there has to be an experiment designed that enables the use of the process. This involves multiple steps that include: subject of investigation level of significance range of… Read More »Introduction to ANOVA #1

Introduction to Regression Analysis #1

Regression Analysis is one most used statistical methods in practical applications. It is used to study trends of data and needs a minimum of 2 variables for the simplest analysis. Which multiple variables? In regression analysis we need at least 2 variables for the simplest calculations. The first variable is called Dependent variable and the second is called Independent variable. We use the calculations to see if changing the values… Read More »Introduction to Regression Analysis #1