# Statistics

## Data Science Interview Questions for IT Industry Part-1: Statistics

Statistics is a vast subject and no one knows all of it! But there are some bare minimum concepts which you must know as a Data Scientist.

## Stats 101: How to do sampling in R?

To perform sampling in R, one can take help of various functions available for each type of sampling technique.

## Stats 101: What is the â€‹Sampling Theory

Sampling means choosing random values. A random sample exhibits the properties of the whole population.

## Stats 101: Measures of Location [Quartiles]

Measures of location is a combination of values for a data which can summarise its distribution.

## Stats 101: Measures of Spread [Standard Deviation]

Standard Deviation helps to understand ‘On an average, how far away each data point is from the mean value’

## Stats 101: Measures of Spread [Min Max]

It is very important to explore the data and understand it, before you can use it for solving problems.

## Stats 101: What is Mode value and when to use it?

Mode is the most frequently occurring value in a set.

## Stats 101: Why Median is a better measure of centralÂ tendency

When you are trying to understand about the central tendency of a numeric dataset, the median is a better way

## Stats 101: Why Mean is Misleading?

The average age of people living in that area is 49 Years Will you launch the dating app?