## Random Variable and Distribution: The Concept

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# Statistics

## DATA HANDLING IN R

DATA HANDLING WITH ‘dplyr’ PACKAGE IN R What is data handling? The first and foremost knowledge needed for Data Analyst or Data Scientist is how to handle the data? Now the question is what is data handling? Data handling means gathering…

## Different Ways Of Variable Reduction

Once upon a time, there was a teacher in a village he asked his students to narrate the importance of Subhas Chandra Bose in the fight for freedom of India. But he started from the name of parents of Subhas Bose and described his early life…

## Statistics for Data Science

Data can only be turned into information by statistics, but big data calls for the data science! Statistics and Probability are important parts of Data Science and you will have to be very efficient in it before you try your hands to…

## 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…

## Effect Of Multicollinearity and VIF in R

Problems Due To Multicollinearity We start the topic of Multicollinearity by giving a funny example by which we can realize what multicollinearity is and its effect. One day Ram’s father asked him “Ram, Why your bank balance is so much…

## 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…

## Difference between K Means Clustering and Hierarchical Clustering

Cluster analysis or simply k means clustering is the process of partitioning a set of data objects into subsets. Each subset is a cluster such that the similarity within the cluster is greater and the similarity between the clusters is…

## 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…