Statistics – Coefficient of Variation & Analysis of Frequency Data

Grade 11 Maths — Statistics – Coefficient of Variation & Analysis of Frequency Data: 25 practice questions with instant scoring and explanations.

1. Coefficient of Variation (CV) is defined as:
2. CV is used to compare:
3. For a dataset with mean 40 and SD 8, CV is:
4. The dataset with smaller CV is:
5. For frequency data, the mean is calculated as:
6. For grouped data, class mark is calculated as:
7. In frequency distribution, class width is:
8. For frequency data x: 10, 20, 30 with frequencies 2, 3, 5, the mean is:
9. Variance for grouped/frequency data is:
10. Cumulative frequency is:
11. In a frequency polygon, points are plotted at:
12. Histogram uses:
13. For data with frequencies: x = 5(f=2), 10(f=3), 15(f=5), mean is:
14. If CV₁ = 15% and CV₂ = 20%, which dataset is more consistent?
15. A frequency distribution is symmetric if:
16. Relative frequency is:
17. Relative frequency is expressed as:
18. For grouped data, the modal class is:
19. Empirical rule: about 68% of data lies within:
20. About 95% of data in normal distribution lies within:
21. For comparing variability between heights (cm) and weights (kg), use:
22. Data with CV = 5% is more uniform than data with CV =:
23. Frequency density is:
24. A histogram is used to represent:
25. For grouped data with mean 50 and SD 5, CV is: