We all want to be future Data Scientists, Data Analysts, or Data engineers but as you know everything related to data starts with statistics.
![](https://gyaaninsights.com/wp-content/uploads/2023/06/charts-gccef09dad_1280-1024x726.png)
That’s why In this post you will get the top 15 Interview questions on Statistics.
- What is the Central Limit Theorem, and why is it important in data science?
- Explain the differences between overfitting and underfitting.
- How would you handle missing or corrupted data in a dataset?
- What is the bias-variance tradeoff?
- How would you explain a p-value to someone who has no background in statistics?
- Could you explain the difference between a Type I and a Type II error?
- Can you explain the difference between “correlation” and “causation”? Can you provide an example?
- What are some ways to handle skewed data?
- Explain the concept of regression. When would you use multiple linear regression?
- What are decision trees, and where might they be useful in a business context?
- How do you assess the statistical significance of an insight?
- Describe how the A/B testing process works.
- What is a confusion matrix, and how does it help in evaluating the performance of a classification model?
- How would you use statistical methods to identify an outlier?
- Explain the concepts of descriptive and inferential statistics. How are they different?
Make a note, try to analyze, and prepare answers to these questions by yourself.
If you find any difficulties do to forget to explore our free resources.
Good Luck!