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# Statistics

## Missing Value Imputation Techniques In R

Missing values occur when no data is available for a column of an observation. They are expressed by a symbol “NA” which means “Not Available” in R. Missing values introduces vagueness and miss interpretability in any form of statistical…

## 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…

## Hypothesis Testing Examples

Whenever any sample is collected and interpreted it is required at the same time to check its reliability and consistency with the population or to make any inference about the population. Statistical hypothesis testing does this for us.…

## Which Non Parametric Tests to Apply When

While dealing with hypothesis testing, we come across situations where nothing can be assumed about the population distribution, or when the data is not present in representable numerical form (ordinal or nominal data). In such situations,…

## Correlation Coefficient In Data Science

In your everyday life, have you ever wondered if there is any type of relationship between your height and your weight, your income and your expenditure, your age and your working ability and so on? The concept of correlation deals with…

## Experimental Design And Its Application

Experimental Design is a vast concept. In this article, we will learn about: The various terminologies required to build the concept ( experimental units, treatments, experimental error, blocks). The three principles of Experimental Design…

## Comparison Between One Way and Two Way ANOVA

When it comes to research, in the field of business, economics, psychology, sociology, biology, etc. the Analysis of Variance, shortly known as ANOVA is an extremely important tool for analysis of data (both One Way and Two Way ANOVA is…

## Types of Sampling Techniques: Stratified Sampling

Population or Universe Before giving the notion of sampling and its various types like Stratified Sampling and its application, let us first define the population. A population is the full set of all the possible units of analysis. It is…

## Application Of F Distribution

“There are three types of lies -- lies, damn lies, and statistics.” ― Benjamin Disraeli In the estimation theory, we draw samples from the population and then estimate the population parameters on the basis of these sample values. In the…

## Which Statistical Distribution Should Be Applied When

An experiment may be performed once, twice or any number of times. We might be always confused with Probability Distribution and think of Normal Distribution or Binomial Distribution. An experiment may be performed with many individuals to…