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# Statistics for Data Science

## 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…

## T-Test Distribution and Its Application

In order to understand T-Test Distribution, Consider the situation, you want to compare the performance of two workers of your company by checking the average sales done by each of them, or to compare the performance of a worker by…

## 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…