Measures of Dispersion MCQ Questions and Answers for Practice

Measures of Dispersion MCQs are essential for understanding the spread and variability of data. These questions are perfect for students and exam aspirants looking to enhance their statistical skills and prepare for various assessments.

About Measures of Dispersion MCQ Questions

Measures of Dispersion, such as range, variance, and standard deviation, help quantify the spread of data points around a central value. These MCQs cover fundamental concepts, calculations, and applications, ensuring a comprehensive understanding of statistical dispersion.

Why Practice Measures of Dispersion Objective Questions?

Practicing Measures of Dispersion MCQs is crucial for exam preparation, interviews, and concept revision. These questions help reinforce your knowledge, improve problem-solving skills, and build confidence in handling statistical data. Regular practice can also enhance your ability to interpret and analyze data effectively.

Who Should Use These MCQs?

  • Students preparing for school or college exams
  • Competitive exam aspirants
  • Candidates preparing for interviews

Measures of Dispersion MCQ Questions for Practice

1. An automobile manufacturer obtains data concerning the sales of six of its deals in the last week of 1996. The results indicate the standard deviation of their sales equals 6 autos. If this is so, the variance of their sales equals:

2. If standard deviation of the values 2, 4, 6, 8 is 2.236, then standard deviation of the values 4, 8,12, 16 is:

3. Var(X) = 4 and Var(Y) =9. If X and Y are independent random variable then Var(2X + Y) is:

4. If = Rs.20, S= Rs.10, then coefficient of variation is:

5. Which of the following measures of dispersion is independent of the units employed?

6. The moments about origin are called:

7. All odd order moments about mean in a symmetrical distribution are:

8. The second moment about arithmetic mean is 16, the standard deviation will be:

9. The first and second moments about arbitrary constant are -2 and 13 respectively, The standard deviation will be:

10. Moment ratios β1 and β2 are:

11. The first moment about X = 0 of a distribution is 12.08. The mean is:

12. First two moments about the value 2 of a variable are 1 and 16. The variance will be:

13. The first three moments of a distribution about the mean are 1, 4 and 0. The distribution is:

14. If the third central is negative, the distribution will be:

15. If the third moment about mean is zero, then the distribution is:

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