Assertion (A): For a moderately skewed distribution, mean – mode ≈ 3(mean – median). Reason (R): In any skewed distribution, the median always lies between the mean and mode. Choose the correct option: MCQ with Answer and Explanation

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Assertion (A): For a moderately skewed distribution, mean – mode ≈ 3(mean – median). Reason (R): In any skewed distribution, the median always lies between the mean and mode. Choose the correct option:
A. Both A and R are true, and R is the correct explanation of A
B. Both A and R are true, but R is not the correct explanation of A
C. A is true, R is false
D. A is false, R is true
Answer: Option B
Solution (By JKExamLibrary)
The empirical relationship (A) is true for moderate skewness. In skewed distributions, median lies between mean and mode, but this fact does not directly explain the formula; it's an observed pattern.
This question belongs to: Accountancy and Statistics Statistics

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Question #1 Report Error
Population density is defined as:
A. Total population divided by urban area
B. Number of households per square kilometer
C. Total population divided by total arable land
D. Number of persons per square kilometer
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Correct Answer: Option D

Explanation:
Population density is commonly expressed as the number of persons per unit area, usually per sq. km.
This question belongs to: Accountancy and Statistics Statistics
Question #2 Report Error
A population pyramid with a narrow base and wide top indicates:
A. High infant mortality
B. High fertility, low mortality
C. High birth rate, high death rate
D. Low birth rate, low death rate, aging population
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Correct Answer: Option D

Explanation:
Narrow base means fewer young people; wide top means many elderly, typical of developed countries.
This question belongs to: Accountancy and Statistics Statistics
Question #3 Report Error
If two events are exhaustive, then:
A. A and B are independent
B. P(A∪B) = 1
C. P(A∩B) = 0
D. P(A) = P(B)
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Correct Answer: Option B

Explanation:
Exhaustive events cover the entire sample space.
This question belongs to: Accountancy and Statistics Statistics
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