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CRACK INTERVIEW OF STATISTICIAN

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CRACKING THE INTERVIEW OF DATA SCIENTIST AND STATISTICIAN IS NOT A PIECE OF CAKE. TO BECOME A DATA SCIENTIST IT IS NECESSARY TO UNDERSTAND THE STATISTICS CONCEPT.



We all know that Statistics is the base of Machine Learning and is also one of the favorite topics for the research field and for mathematicians. For any Machine Learning and Data Science Interviews, Statistics plays a big role to show your understandings of ML Algorithms. 

So, We have prepared the list of Most Commonly Asked Interview Questions of Statistics.


We've broken the statistics interview questions into three parts.
    • BASIC
    • MEDIUM
    • ADVANCE

BASICS(1)-STATS INTERVIEW QUESTIONS 


 Q1.What is Data?

 Q2.What is Big Data?

 Q3.What is Data analysis?

 Q4.What is the Line?

 Q5.What is a plane, hyperplane?

 Q6.What is Stats?

 Q7.What is quantitative data and qualitative data?

 Q8.What are the types of stats?

 Q9.What is the descriptive stats?

 Q10.What is Inferential stats?

 Q11.What is a measure of central tendency?

 Q12.What is a measure of variability?

 Q13.What is predictive stats?

Q14.The main characteristics used in stats-mean, mode, median, range, variance, dispersion.

 Q15.What is the difference between TYPE 1 ERROR AND TYPE 2 ERROR?

  

MEDIUM(2) -STATS INTERVIEW QUESTIONS 


 Q1.What is Central Limit Theorem? Why is it important?

 Q2.What is Selection Bias?

 Q3.What is Sampling?

 Q4.What is Statistical Interaction?

 Q5.What is a Confusion matrix?

 Q6.What are correlation and covariance?

 Q7.What is systematic sampling?

 Q8.What is the difference between population parameters and sample statistics?

 Q9.What is the Confidence interval?

 Q10.What is 99% CONFIDENCE INTERVAL?

 Q11.Explain the concept of outliers, how to remove them?

 Q12.What is the missing data and how to handle it?

 Q13.What is the p-value?

 Q14.What are the types of biases?

 Q15.What is the meaning of the degree of freedom?



ADVANCE(3) -STATS INTERVIEW QUESTIONS


 Q1.What are left-skewed and right-skewed?

 Q2.Say We have X ~ Uniform(0, 1) and Y ~ Uniform(0, 1). What is the expected value of     the minimum of X and Y? (Google)

 Q3.How would you build and test a metric to compare two users’ ranked lists of movie/tv show preferences? (Facebook)

 Q4.What is the goal of A/B testing?

 Q5.What is Survivorship Bias?

 Q6.Can you cite some examples where both false positives and false negatives are equally important?

Q7. What are confounding variables?

Q8. What is root cause analysis?

Q9. What is Confidence Interval?

Q10. What is the law of large numbers?



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