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5.4 - Skewness and Kurtosis - MCQs

Interactive MCQs Quiz

Test your knowledge with these questions

1. What does skewness measure in a dataset?

2. A distribution with a right tail longer than the left is called:

3. When the mean is greater than the median in a dataset, the distribution is likely to be:

4. In a negatively skewed distribution, the tail is:

5. If a dataset has no skewness, it is referred to as:

6. A perfectly symmetrical distribution has a skewness value of:

7. Skewness is particularly important for analyzing:

8. Which of the following is an example of a negatively skewed distribution?

9. The skewness of a normal distribution is:

10. A positively skewed distribution is often observed in:

11. If the skewness of a distribution is -0.5, it is:

12. The skewness coefficient is typically measured by:

13. Which statement is true about a symmetrical distribution?

14. In a positively skewed distribution, which is the correct order of the measures of central tendency?

15. Skewness is an indicator of:

16. What is Karl Pearson's Coefficient of Skewness used to measure?

17. Karl Pearson's Coefficient of Skewness formula is:

18. Karl Pearson's Coefficient of Skewness helps in understanding:

19. If Karl Pearson’s Coefficient of Skewness is positive, the distribution is:

20. When Karl Pearson's Coefficient of Skewness is negative, it indicates that the distribution has:

21. What does it imply if Karl Pearson's Coefficient of Skewness equals 0?

22. In a positively skewed distribution, the order of mean, median, and mode is generally:

23. The value of Karl Pearson’s Coefficient of Skewness typically lies between:

24. If a dataset has a mean of 50, a median of 40, and a standard deviation of 10, what is the Pearson’s Coefficient of Skewness?

25. What does a large positive value of Pearson’s Coefficient of Skewness indicate?

26. Pearson’s Coefficient of Skewness is sensitive to which of the following?

27. For which types of distributions is Karl Pearson's Coefficient of Skewness most appropriate?

28. A coefficient of skewness close to -3 indicates:

29. Which measure of central tendency is most affected by extreme values in a distribution, causing skewness?

30. If the mean and median of a dataset are equal, Karl Pearson’s Coefficient of Skewness will be:

31. What does Bowley's Coefficient of Skewness measure?

32. Bowley’s Coefficient of Skewness is based on which of the following measures?

33. The formula for Bowley’s Coefficient of Skewness is:

34. A Bowley’s Coefficient of Skewness value greater than 0 indicates a distribution that is:

35. If Bowley’s Coefficient of Skewness equals 0, the distribution is:

36. A Bowley’s Coefficient of Skewness less than 0 indicates a distribution that is:

37. In the context of Bowley's Coefficient, what do 𝑄₁ and 𝑄₃ represent?

38. Which of the following distributions is most appropriate for calculating Bowley’s Coefficient of Skewness?

39. Bowley’s Coefficient of Skewness is particularly useful because it:

40. Which of the following values indicates a perfectly symmetrical distribution using Bowley's Coefficient?

41. Bowley’s Coefficient is particularly beneficial in the analysis of:

42. Which scenario is best suited for the application of Bowley's Coefficient of Skewness?

43. In Bowley’s Coefficient of Skewness, which quartile is subtracted from 𝑄₃?

44. What does a Bowley's Coefficient of Skewness close to +1 indicate?

45. The interpretation of Bowley’s Coefficient of Skewness allows analysts to:

46. What does kurtosis measure in a statistical distribution?

47. How many types of kurtosis are generally identified?

48. Which of the following describes a distribution with positive kurtosis?

49. What does a kurtosis value of zero indicate?

50. Which term is used to describe a distribution with a kurtosis greater than three?

51. What is the kurtosis value associated with a platykurtic distribution?

52. The excess kurtosis is calculated by subtracting which value from the kurtosis?

53. In statistical analysis, why is kurtosis important?

54. Which of the following is NOT a characteristic of a leptokurtic distribution?

55. When analyzing financial returns, why is kurtosis particularly significant?

56. In the context of kurtosis, what does a high kurtosis value imply about the distribution?

57. Which statistical software can be used to calculate kurtosis?

58. How does kurtosis differ from skewness?

59. Which of the following distributions is an example of a platykurtic distribution?

60. What is the implication of a low kurtosis value in data analysis?