Question: If we want to estimate the number of trees along the road from Place A to Place B (for example, from your residence to the place of interview), which sampling technique should be used?
Answer: You might think of using random sampling, but the more appropriate method in this case is systematic sampling (read more about sampling methods).
Question: A person travels from Place A to Place B at a speed of 60 km/h and returns from Place B to Place A at a speed of 40 km/h. What is the average speed for the entire journey?
Answer: You might be tempted to answer 50 km/h, but the correct average speed is 48 km/h. To solve this, we need to use the harmonic mean.
Question: In sampling, what is the difference between strata and clusters?
Answer: Strata are internally homogeneous but heterogeneous between strata. Clusters are internally heterogeneous but similar to each other (read more about sampling methods).
Question: If correlation coefficient is zero, does it mean that there is no relationship between variables?
Answer: Pearson correlation coefficient measures the linear relationship between variables. If it is zero, then there is no linear relation between the variables. However, there may be non-linear relationship between the variables.
If you have got such questions, please share it in the comments.
Excellent article! These tricky data science interview questions go beyond memorizing concepts and encourage candidates to apply logical thinking, statistical knowledge, and real-world problem-solving skills. The practical explanations make complex topics easier to understand, making this a valuable resource for both beginners and experienced professionals preparing for data science interviews. Great work sharing such insightful content!
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