 ## How F-tests works in Analysis of Variance (ANOVA)

Analysis of variance technique was first introduced by R. A. Fisher. Though the name ANOVA suggests splitting of total variance into different components, actually it splits total sum of squares…

## Beginner to Advance level: Steps to make regression model part 1 You must have heard about Regression models many times but you might have not heard about the techniques of solving or making a regression model step-wise. (more…)

## Kmeans Clustering

When the input data is unlabeled and we have to find hidden patterns or clusters in the data set unsupervised learning comes in the picture. In clustering what we do…

## How to Use Probability Distribution to Understand Your Data Critically

Is there any basis why probability distribution has to be talked about? What are its uses in understanding data? Can it show a sense of relevance according to one's needs?…

## Dispersion

Dispersion   Dispersion means the variability, spread in the data. Average gives a single representative of the data however reliability of average is more if dispersion is less. Consider the…

## Testing of Hypothesis and its application using R

Hypothesis Testing The primary objective of any statistical analysis is to gather information about some characteristics of the population. But usually only a part of the population (i.e. sample) can be…

## Steps Of Modelling

Regression analysis is a method to find functional relationships among variables. The relationship is expressed in the form of an equation or a model depicting connection between the response or…

## ANOVA Using SPSS

ONE-WAY CLASSIFICATION ________________________________________________________________________________________________ Definition   :   Analysis of variance (ANOVA) uses F-tests to statistically assess the equality of means when you have three or more groups. When we come across a…

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