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Statistics Interview Questions | Day 4

Today we will counter statistics interview question, A Data Science interview will definitely have a good round of statistics. Interviewer will rarely ask you a very mathematical question. But, statistics interview questions will have lots of small but tricky questions.

Before we get started, do create your profile on the website. The ‘Login’ area is at your extreme left 🙂

You can get previous days questions here

Day 1-
Day 2-
Day 3-

Day 4 questions

statistics interview questions

Performance of Linear Regression Model –
R Squared error –
Multi-Co-linearity –
Loss Function –
Best Fit Line for Linear Regression –
Ridge Regression vs Linear Regression –
ROC curve –
Sample and Population Variance –
Different Statistical tests –
Test used for less than 30 sampling unit –

These are definitely some of the most asked questions in a statistics interview questions

The most important topics to work on Statistics are
– What is the meaning of p-value
– What is the difference between R squared and Adjusted R-squared error
– Different types of tests in statistics
– Knowing the approach to calculate the tests in MS Excel
– ROC-AUC curve
– Assumptions of Linear Regression
– Line of Fit
– How to measure the effectiveness of your model

We will cover all of the above plus many more interview questions to make sure your interviewer is also using our website to ask questions

In order to practice more courses on Data Science, we definitely recommend Data Camp

Practice all the questions posted over here, try to make sure that you attempt the questions. we evaluate answers every now and then and provide particular feedback on your performace

If you want any guidance or want to make a career in Data Science, then you can take a look on our proposed Data science path

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Keep Learning 🙂

The Data Monk

About TheDataMonkMaster

I am the Co-Founder of The Data Monk. I have a total of 4+ years of analytics experience with 3+ years at Mu Sigma and 1 year at OYO. I am an active trader and a logically sarcastic idiot :)

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