## 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.

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# Statistics

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

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

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

## Stats 101: Measures of Location [Quartiles]

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

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

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

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

## Stats 101: Why Mean is Misleading?

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.

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

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

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

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

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

Mode is the most frequently occurring value in a set.

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

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