1. What is the mean of [2, 4, 6, 8]?
A. 4
B. 5 ✅
C. 6
D. 8
2. Median of [3, 1, 4, 2, 5] is:
A. 2
B. 3 ✅
C. 4
D. 5
3. Mode is:
A. Average
B. Middle value
C. Most frequent value ✅
D. Range
4. Variance measures:
A. Central tendency
B. Spread of data ✅
C. Correlation
D. Median
5. Standard deviation is:
A. Square of variance
B. Square root of variance ✅
C. Half of variance
D. Mean
6. Probability value lies between:
A. -1 and 1
B. 0 and 1 ✅
C. 1 and 100
D. -∞ and ∞
7. A fair coin toss probability of heads:
A. 0.25
B. 0.5 ✅
C. 1
D. 0
8. Normal distribution is:
A. Skewed
B. Uniform
C. Bell-shaped ✅
D. Random
9. Which is symmetric?
A. Exponential
B. Normal distribution ✅
C. Poisson
D. Skewed
10. Outliers affect:
A. Median
B. Mean ✅
C. Mode
D. Range
11. Correlation coefficient range:
A. 0 to 1
B. -1 to 1 ✅
C. -∞ to ∞
D. 1 to 100
12. Positive correlation means:
A. Variables move opposite
B. No relation
C. Variables move together ✅
D. Random
13. Negative correlation means:
A. Same direction
B. Opposite direction ✅
C. No relation
D. Constant
14. Null hypothesis represents:
A. Alternative claim
B. No effect ✅
C. Strong relation
D. Prediction
15. p-value is:
A. Probability of null being true
B. Significance measure ✅
C. Mean
D. Variance
16. If p < 0.05:
A. Accept null
B. Reject null ✅
C. Ignore
D. Random
17. Sampling is:
A. Collecting entire population
B. Subset of population ✅
C. Ignoring data
D. Cleaning data
18. Population is:
A. Sample
B. Entire dataset ✅
C. Random subset
D. Variable
19. Bias means:
A. Randomness
B. Systematic error ✅
C. Accuracy
D. Mean
20. Central Limit Theorem relates to:
A. Mean distribution
B. Sampling distribution ✅
C. Median
D. Mode
21. Confidence interval represents:
A. Exact value
B. Range of estimate ✅
C. Median
D. Error
22. 95% confidence means:
A. 95% data correct
B. 95% chance interval contains true parameter ✅
C. 95% error
D. Random
23. Skewness measures:
A. Spread
B. Asymmetry ✅
C. Mean
D. Median
24. Kurtosis measures:
A. Shape of tails ✅
B. Mean
C. Variance
D. Correlation
25. Regression predicts:
A. Category
B. Continuous value ✅
C. Mode
D. Median
26. Classification predicts:
A. Continuous value
B. Categories ✅
C. Mean
D. Variance
27. Overfitting means:
A. Under learning
B. Memorizing training data ✅
C. Ignoring data
D. Random guess
28. Underfitting means:
A. Too complex
B. Too simple model ✅
C. Perfect fit
D. Overtraining
29. Covariance indicates:
A. Direction of relationship ✅
B. Mean
C. Variance
D. Mode
30. Law of Large Numbers:
A. Small sample accurate
B. Large sample approximates population ✅
C. No relation
D. Random
Conclusion
Mastering Statistics is essential for anyone working in Data Science, as it forms the backbone of data analysis, decision-making, and model building. This quiz was designed to help you test your understanding of key concepts like probability, distributions, hypothesis testing, and data interpretation.
If you scored well, it shows you have a solid grasp of statistical fundamentals. If not, don’t worry use this as a learning opportunity to revisit important topics and strengthen your foundation.
Remember, becoming a skilled data scientist isn’t just about tools and coding it’s about understanding the logic behind the data. Keep practicing, keep analyzing, and most importantly, stay curious!
