Class 11 Economics MCQ Chapter 19 Measures of Dispersion

Class 11 Economics MCQ Chapter 19 Measures of Dispersion Question Answer English Medium to each chapter is provided in the list so that you can easily browse through different chapters Class 11 Economics MCQ Chapter 19 Measures of Dispersion and select need one. AHSEC Class 11 Economics Objective Type Solutions in English As Per AHSEC New Book Syllabus Download PDF. AHSEC Economics MCQ Class 11.

Class 11 Economics MCQ Chapter 19 Measures of Dispersion

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Also, you can read the NCERT book online in these sections Solutions by Expert Teachers as per Central Board of Secondary Education (CBSE) Book guidelines. AHSEC Class 11 Economics Multiple Choice Solutions are part of All Subject Solutions. Here we have given AHSEC Class 11 Economics MCQ in English for All Chapters, You can practice these here.

Chapter: 19

PART – B : STATISTICS FOR ECONOMICS

Choose the Correct Option:

1. What does central tendency provide in data analysis?

(i) A measure of correlation.

(ii) A single representative value.

(iii) A method of prediction.

(iv) The total number of observations.

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Ans: (ii) A single representative value.

2. Why is it important to study dispersion in addition to central tendency?

(i) To determine the total number of observations.

(ii) To understand how data points deviate from the central value.

(iii) To calculate the sum of all data points.

(iv) To find the exact middle value.

Ans: (ii) To understand how data points deviate from the central value.

3. Which of the following best defines dispersion?

(i) The difference between the highest and lowest values.

(ii) The measure of the variation of items in a dataset.

(iii) The sum of all observations divided by their count.

(iv) The middle value in an ordered dataset.

Ans: (ii) The measure of the variation of items in a dataset.

4. What does dispersion measure in statistics?

(i) The average of all data values.

(ii) The extent of variation in data.

(iii) The sum of all data values.

(iv) The smallest data value.

Ans: (ii) The extent of variation in data.

5. Which of the following is true about dispersion?

(i) It only considers positive deviations.

(ii) It measures how much data varies from the mean.

(iii) It ignores extreme values in data.

(iv) It is the same as the arithmetic mean.

Ans: (ii) It measures how much data varies from the mean.

6. Why is dispersion also called the “average of the second order”?

(i) It is calculated after the mean.

(ii) It considers both positive and negative deviations.

(iii) It is always greater than the mean.

(iv) It measures the sum of data values.

Ans: (ii) It considers both positive and negative deviations.

7. What does a small dispersion indicate about an average?

(i) It is unreliable.

(ii) It closely represents the observations.

(iii) It has no statistical significance.

(iv) It cannot be used for comparison.

Ans: (ii) It closely represents the observations.

8. Why is measuring dispersion important in industrial production?

(i) To reduce labour costs.

(ii) To control quality variation.

(iii) To increase production speed.

(iv) To measure profit margins.

Ans: (ii) To control quality variation.

9. How does dispersion help in economic policymaking?

(i) By measuring GDP growth.

(ii) By assessing income and wealth inequality.

(iii) By determining tax rates.

(iv) By increasing employment opportunities.

Ans: (ii) By assessing income and wealth inequality.

10. What does a high degree of variation in data imply?

(i) More consistency.

(ii) Less uniformity.

(iii) Higher reliability.

(iv) Lower dispersion.

Ans: (ii) Less uniformity.

11. Why is dispersion important in hypothesis testing?

(i) It helps in setting prices.

(ii) It provides a measure of variation.

(iii) It determines government policies.

(iv) It is unrelated to hypothesis testing.

Ans: (ii) It provides a measure of variation.

12. Which of the following is NOT a reason for studying dispersion?

(i) Assessing reliability of an average.

(ii) Measuring variation for quality control.

(iii) Increasing the average value of data.

(iv) Comparing different statistical series.

Ans: (iii) Increasing the average value of data.

13. Which of the following is NOT a characteristic of a good measure of dispersion?

(i) It should be simple to understand.

(ii) It should be difficult to calculate.

(iii) It should be based on all observations.

(iv) It should not be unduly affected by extreme values.

Ans: (ii) It should be difficult to calculate.

14. Why should a good measure of dispersion be least affected by sampling fluctuations?

(i) To ensure stability and reliability of results.

(ii) To make calculations more complex.

(iii) To ignore extreme values completely.

(iv) To reduce the number of observations.

Ans: (i) To ensure stability and reliability of results.

15. A good measure of dispersion should be suited for further algebraic treatment because:

(i) It allows easier mathematical manipulation.

(ii) It ensures data remains unchanged.

(iii) It helps in reducing extreme values.

(iv) It makes understanding difficult.

Ans: (i) It allows easier mathematical manipulation.

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