1. Range of a given set of observations is defined as:
A. Maximum value - Minimum value
B. Maximum value + Minimum value
C. (Maximum value - Minimum value) / 2
D. Sum of observations / Total number
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Answer: A. Maximum value - Minimum value
Explanation: Range is the simplest measure of dispersion, calculated as Maximum value minus Minimum value.
2. The mean deviation about mean for ungrouped data is given by:
A. (1/n) Σ |xᵢ - x̄|
B. (1/n) Σ (xᵢ - x̄)²
C. Σ |xᵢ - x̄|
D. √[(1/n) Σ (xᵢ - x̄)²]
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Answer: A. (1/n) Σ |xᵢ - x̄|
Explanation: Mean deviation about mean is arithmetic mean of absolute deviations from mean.
3. Find the range of the data: 6, 7, 10, 12, 13, 4, 8, 12.
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Answer: A. 9
Explanation: Maximum value = 13, Minimum value = 4. Range = 13 - 4 = 9.
4. Mean deviation about median is minimum compared to mean deviation about any other value. This statement is:
A. True
B. False
C. True only for symmetric data
D. Cannot be determined
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Answer: A. True
Explanation: The sum of absolute deviations is minimum when measured about the median.
5. Variance (σ²) of n observations x₁, x₂, ..., xₙ is given by:
A. (1/n) Σ (xᵢ - x̄)²
B. (1/n) Σ |xᵢ - x̄|
C. √[(1/n) Σ (xᵢ - x̄)²]
D. Σ (xᵢ - x̄)²
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Answer: A. (1/n) Σ (xᵢ - x̄)²
Explanation: Variance is defined as mean of squared deviations from mean.
6. Standard Deviation (σ) is equal to:
A. Square root of Variance
B. Square of Variance
C. Mean Deviation
D. Half of Variance
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Answer: A. Square root of Variance
Explanation: Standard deviation σ = √(Variance) = √σ².
7. The formula for Coefficient of Variation (C.V.) is:
A. (σ / x̄) × 100
B. (x̄ / σ) × 100
C. (σ² / x̄) × 100
D. (Mean Deviation / Mean) × 100
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Answer: A. (σ / x̄) × 100
Explanation: C.V. measures relative dispersion and equals (Standard Deviation / Mean) × 100.
8. Between two series, the series with greater Coefficient of Variation is:
A. More variable (less consistent)
B. Less variable (more consistent)
C. More consistent
D. Has higher mean
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Answer: A. More variable (less consistent)
Explanation: Higher C.V. indicates greater variability and lesser consistency.
9. Variance of first n natural numbers is given by:
A. (n² - 1) / 12
B. (n² + 1) / 12
C. (n - 1) / 6
D. n² / 12
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Answer: A. (n² - 1) / 12
Explanation: Standard formula for variance of 1, 2, ..., n is (n² - 1) / 12.
10. Standard deviation of first n natural numbers is:
A. √[(n² - 1) / 12]
B. (n² - 1) / 12
C. √[(n² + 1) / 12]
D. (n + 1) / 2
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Answer: A. √[(n² - 1) / 12]
Explanation: Standard deviation is square root of variance: √[(n² - 1) / 12].
11. If each observation is multiplied by a constant k, then the new standard deviation becomes:
A. |k| × original σ
B. k² × original σ
C. original σ
D. original σ + k
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Answer: A. |k| × original σ
Explanation: Scaling observations by k multiplies standard deviation by absolute value |k|.
12. If each observation is multiplied by a constant k, the new variance becomes:
A. k² × original variance
B. k × original variance
C. original variance
D. original variance + k²
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Answer: A. k² × original variance
Explanation: Since variance is square of S.D., multiplying data by k multiplies variance by k².
13. If a constant k is added to each observation, the new standard deviation is:
A. Same as original σ
B. original σ + k
C. k × original σ
D. original σ - k
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Answer: A. Same as original σ
Explanation: Standard deviation is independent of change of origin (adding/subtracting constant).
14. Find mean deviation about mean for data: 4, 7, 8, 9, 10, 12, 13, 17.
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Answer: A. 3
Explanation: Mean x̄ = 80/8 = 10. Deviations |xᵢ - 10| = 6, 3, 2, 1, 0, 2, 3, 7. Sum = 24. Mean Dev = 24/8 = 3.
15. Sum of deviations of observations from their actual mean is always:
A. 0
B. 1
C. Positive
D. Negative
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Answer: A. 0
Explanation: Fundamental algebraic property of arithmetic mean: Σ(xᵢ - x̄) = 0.
16. Calculate variance for data: 6, 7, 10, 12, 13, 4, 8, 12.
A. 9.25
B. 8.5
C. 10
D. 9.75
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Answer: A. 9.25
Explanation: Mean x̄ = 72/8 = 9. Squared deviations: 9, 4, 1, 9, 16, 25, 1, 9. Sum = 74. Variance = 74/8 = 9.25.
17. Standard deviation of 5 observations is 4. If each observation is increased by 2, new S.D. is:
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Answer: A. 4
Explanation: S.D. does not change when a constant is added to each observation.
18. Standard deviation of 5 observations is 3. If each observation is multiplied by 2, new S.D. is:
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Answer: A. 6
Explanation: New S.D. = |2| × original S.D. = 2 × 3 = 6.
19. Variance of 10 observations is 5. If each observation is multiplied by 3, new variance is:
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Answer: A. 45
Explanation: New Variance = 3² × original variance = 9 × 5 = 45.
20. If mean of a distribution is 25 and standard deviation is 5, its Coefficient of Variation is:
A. 20%
B. 5%
C. 25%
D. 125%
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Answer: A. 20%
Explanation: C.V. = (σ / x̄) × 100 = (5 / 25) × 100 = 20%.
21. Find median of data: 13, 17, 16, 14, 11, 13, 10, 16, 11, 18, 12.
A. 13
B. 14
C. 12
D. 13.5
Show Answer
Answer: A. 13
Explanation: Ordered data (11 items): 10, 11, 11, 12, 13, 13, 14, 16, 16, 17, 18. Median = 6th term = 13.
22. Variance of constant sequence 5, 5, 5, 5, 5 is:
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Answer: A. 0
Explanation: All observations are identical, so there is no dispersion (variance = 0).
23. For grouped discrete frequency distribution, variance is given by:
A. (1/N) Σ fᵢ(xᵢ - x̄)²
B. (1/N) Σ fᵢ|xᵢ - x̄|
C. Σ fᵢxᵢ² / N
D. (1/N) Σ (xᵢ - x̄)²
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Answer: A. (1/N) Σ fᵢ(xᵢ - x̄)²
Explanation: Standard frequency-weighted formula for variance where N = Σ fᵢ.
24. Variance of first 5 natural numbers (1, 2, 3, 4, 5) is:
Show Answer
Answer: A. 2
Explanation: Formula = (n² - 1) / 12 = (25 - 1) / 12 = 24 / 12 = 2.
25. Which of the following is NOT a measure of dispersion?
A. Mean
B. Range
C. Standard Deviation
D. Variance
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Answer: A. Mean
Explanation: Mean is a measure of central tendency, whereas Range, S.D., and Variance measure dispersion.
26. If C.V. of a distribution is 60% and standard deviation is 21, then mean is:
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Answer: A. 35
Explanation: C.V. = (σ / x̄) × 100 ⇒ 60 = (21 / x̄) × 100 ⇒ x̄ = 2100 / 60 = 35.
27. Sum of squares of deviations of 10 observations from their mean 15 is 250. Variance is:
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Answer: A. 25
Explanation: Variance = Σ(xᵢ - x̄)² / n = 250 / 10 = 25.
28. Two series with means x̄₁ and x̄₂ have same S.D. σ. Which series is more consistent?
A. Series with greater mean
B. Series with smaller mean
C. Both are equally consistent
D. Cannot be determined
Show Answer
Answer: A. Series with greater mean
Explanation: C.V. = (σ / x̄) × 100. Larger mean gives smaller C.V., which implies higher consistency.
29. Shortcut formula for calculating variance with step-deviation yᵢ = (xᵢ - A)/h is:
A. h² / N² × [N Σ fᵢyᵢ² - (Σ fᵢyᵢ)²]
B. h / N × [N Σ fᵢyᵢ² - (Σ fᵢyᵢ)²]
C. h² / N × [Σ fᵢyᵢ² - Σ fᵢyᵢ]
D. [Σ fᵢyᵢ² - (Σ fᵢyᵢ)²] / N²
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Answer: A. h² / N² × [N Σ fᵢyᵢ² - (Σ fᵢyᵢ)²]
Explanation: Standard step-deviation formula for variance in grouped frequency distribution.
30. Mean deviation about mean is always:
A. Less than or equal to Standard Deviation
B. Greater than Standard Deviation
C. Equal to Variance
D. Double of Standard Deviation
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Answer: A. Less than or equal to Standard Deviation
Explanation: Mathematically, Mean Deviation ≤ Standard Deviation (M.D. ≈ 0.8 × S.D. for normal distributions).