Statistics Interview Questions

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.

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You can get previous days questions here

Day 1- https://thedatamonk.com/data-science-interview-question-day1/
Day 2-https://thedatamonk.com/sql-interview-questions/
Day 3-https://thedatamonk.com/joins-in-sql/

Day 4 questions

Performance of Linear Regression Model – https://thedatamonk.com/question/what-are-the-metrics-to-measure-the-performance-of-your-linear-regression-model-most-asked-question/
R Squared error – https://thedatamonk.com/question/define-r-squared-error-in-simple-terms/
Multi-Co-linearity – https://thedatamonk.com/question/what-is-the-need-to-remove-multicolinearity/
Loss Function – https://thedatamonk.com/question/define-loss-function-in-the-simplest-way-possible/
Best Fit Line for Linear Regression – https://thedatamonk.com/question/what-is-the-best-fit-line-in-linear-regression/
Ridge Regression vs Linear Regression – https://thedatamonk.com/question/what-makes-ridge-regression-different-from-linear-regression/
ROC curve – https://thedatamonk.com/question/define-roc-in-layman-terms/
Sample and Population Variance – https://thedatamonk.com/question/difference-in-formula-between-sample-and-population-variance/
Different Statistical tests – https://thedatamonk.com/question/what-us-the-difference-between-chi-square-z-test-and-t-test/
Test used for less than 30 sampling unit – https://thedatamonk.com/question/which-test-to-use-when-you-have-less-than-30-sampling-units-amazon-online-interview-question/

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

The Data Monk Interview Books – Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms – Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies – Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions – For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics managers, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions – Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics