Master Your Interview
Top 59 Statistics Interview Questions
Entry Junior Mid Senior Expert
Statistics Theoretical Questions
Q1:
What is Normal Distribution?
Junior
Q2:
What is Statistical Significance?
Junior
Junior
Q4:
Related To: Anomaly Detection
What are the differences in Anomalies for Uniform Distribution and Normal Distribution in One-Dimensional Data?
Related To: Anomaly Detection Junior
Q5:
What is the difference between Descriptive Statistics and Inferential Statistics?
Junior
Q6:
What is the Empirical Rule?
Junior
Q7:
Can there be more than one Mode?
Junior
Q8:
How many types of means do you know?
Junior
Q9:
What is Central Tendency?
Junior
Junior
Q11:
What's the difference between Confidence Interval and Confidence Level?
Junior
Q12:
What is the difference between the Standard Error of the Mean and Standard Deviation?
Junior
Junior
Junior
Q15:
Related To: Data Mining
What is the difference between Data Mining, Statistics, Machine Learning and AI?
Related To: Data Mining Junior
Q16:
When would you use the Interquartile Range (IQR)?
Mid Q17:
How many types of measures of Variability do you know?
Mid Mid Q19:
What's the difference between Kurtosis and Skewness?
Mid Q20:
When would you use a t-test?
Mid Mid Q22:
Related To: Feature Engineering
How do you transform a Skewed distribution into a Normal distribution?
Related To: Feature Engineering Mid Q23:
In measuring reaction time, a psychologist estimates that the standard deviation is 0.05 seconds.
0.05 seconds. Mid Q24:
Related To: Linear Regression
What's the difference between Homoskedasticity and Heteroskedasticity?
Related To: Linear Regression Mid Mid Q26:
in which use-case we should use Mean and when to use Median?
Mid Mid Q28:
What a p-value tells you about statistical significance of observation?
Mid Q29:
What is the Central Limit Theorem (CLT)?
Mid Q30:
How many Levels of Measures do you know?
Mid Q31:
How many Sampling Techniques do you know?
Mid Q32:
What does a Statistical Test do?
Mid Q33:
How would you choose the Statistical Test to use?
Mid Q34:
How would you calculate a Confidence Interval?
Mid Q35:
What's the difference between z-score and t-score?
Mid Q36:
How many types of Descriptive Statistics do you know?
Mid Q37:
Related To: Data Processing, Bias & Variance
When you sample, what potential Sampling Biases could you be inflicting?
Related To: Data Processing, Bias & Variance Mid Q38:
How would you assess the Statistical Significance of an insight?
Mid Q39:
State null and alternate hypothesis for a relationship between gender and height
Mid Q40:
Related To: Data Processing
Is mean imputation of missing data acceptable practice? Why or why not?
Related To: Data Processing Senior Q41:
What is the difference between Central Limit Theorem and the Law of Large Numbers?
Senior Q42:
How would you calculate a Confidence Interval for non normally distributed data?
Senior Q43:
How would you increase the Statistical Power?
Senior Senior Q45:
Related To: Data Processing
How could I (statistically) find features that are more important than others?
Related To: Data Processing Senior Senior Q47:
What's the difference between Covariance and Correlation?
Senior Q48:
What is a Long Tail distribution? How they are produced in real life?
Senior Q49:
How would you calculate and evaluate the Effect Size?
Expert Expert Statistics Practical Challenges
Q1:
Running For Office Challenge
Junior Q2:
Two Aces Challenge
Junior Q3:
Experiment on Extrasensory Perception (ESP) Challenge
Mid Q4:
Performance of Two Classes Challenge
Mid Q5:
Final Exams Standing Challenge
Mid Q6:
99% Confidence Interval Challenge
Mid Senior Senior Q9:
Random Guess Test Pass Challenge
Senior 
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