## Multivariate Analysis Of Variance Or MANOVA

Introduction In ANOVA we examine if there is any statistically significant effect of independent variables on a continuous dependent variable using the sum of squares. But here we only have one dependent variable. It’s very simple, but in…

## Application of Chi-Square Distribution

In statistics, distribution theory is the most important part to perform a testing of the hypothesis. There are many types of distributions among which the Chi-Square distribution is the most important one for testing. An interesting fact…

## Outlier Detection Techniques Using R

In an analytical problem first we have to prepare the data because the data we get is not easy to analyze. When preparing the data, we have to face many problems like presence of missing values, presence of outliers etc. In this article I…

## Non Parametric Tests and Its Application Using R

Before we start with Non-Parametric Tests, We know within a parametric framework at first, we assume an explicit functional form of the population distribution function which is labelled by a parameter ϴ where ϴ is unknown or not completely…

## Implementation of Statistical Hypothesis Testing in R

What is the statistical hypothesis? A statistical hypothesis is an assertion or conjecture about the distribution of one or more random variables. If the hypothesis completely specifies the distribution, then it is called a simple…

## Randomized Block Design (RBD) and Its Application

The simplest design which enables us to take care of variability among the units is the Randomised Block Design (RBD). This is the simplest design using all three principles (randomisation, replication, local control). This design has many…

## 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 obtained from a dataset on a certain response…

## Design Of Experiment: Completely Randomized Design

Introduction: In Design Of Experiment, experimentation and making inference are twin essential features of general scientific methodology. After setting up a statistical problem, we perform experiments for collecting information on the…