Q.The daily cash sales (in ₹ thousand) of a shopkeeper over 6 days are: 20, 24, 18, 26, 22, 28. Find the Variance and Standard Deviation
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Variance is the average of the SQUARED deviations from the mean, σ2=∑(x−xˉ)2/n or ∑f(x−xˉ)2/N; Standard Deviation is its square root, σ=σ2, restoring the data's own unit. A computational shortcut, σ2=∑fx2/N−xˉ2, avoids tabulating every deviation. When the actual mean is inconvenient, the assumed-mean method (deviations d=x−A) or, when cla …
With n=6 individual observations, the direct method uses the actual mean while the assumed-mean method uses a chosen A=22 — both must give the identical variance.
Direct: σ2=∑(x−xˉ)2/n. Assumed-mean: σ2=∑d2/n−(∑d/n)2, d=x−22. …
Step 1 — Direct method: find the mean. ∑x=20+24+18+26+22+28=138, n=6, xˉ=138/6=23.
Step 2 — Direct method: squared deviations from the actual mean.
| x | 20 | 24 | 18 | 26 | 22 | 28 |
|---|---|---|---|---|---|---|
| x−23 | −3 | 1 | −5 | 3 | −1 | 5 |
| (x−23)2 | 9 | 1 | 25 | 9 | 1 | 25 |
∑(x−xˉ)2=9+1+25+9+1+25=70.
σ2=670≈11.6667,σ=11.6667≈3.4157
Step 3 — Cross-check by the assumed-mean method, A=22.
| x | 20 | 24 | 18 | 26 | 22 | 28 |
|---|---|---|---|---|---|---|
| d=x−22 | −2 | 2 | −4 | 4 | 0 | 6 |
| d2 | 4 | 4 | 16 | 16 | 0 | 36 |
∑d=−2+2−4+4+0+6=6; ∑d2=4+4+16+16+0+36=76.
σ2=n∑d2−(n∑d)2=676−(66)2=12.6667−1=11.6667 …
Assumed-mean method with A=22: σ2=76/6−12≈11.67, matching …
Forgetting to subtract (∑d/n)2 in the assumed-mean formula (stopping at ∑d2/n alone) is the standing trap — this correction term is exactly what makes an inconvenient choice of …
- CBSE 2025Set ANNUAL1 markMCQQ.Standard deviation is always— (A) positive (B) negative (C) zero (D) none of these.
›Reveal solutionSolution
Standard deviation is defined as the positive square root of the average squared deviation from the mean, so by construction it can never be negative — it is always positive (or zero when there is no variability at all).
Standard deviation (SD) is computed as:
SD = square root of [ Σ(X − mean)² / N ]
Every individual deviation (X − mean) is squared before being averaged, which eliminates the sign (a negative deviation squared becomes positive, same as a positive deviation squared). The sum of these squared terms, divided by N, is therefore always zero or positive, and by mathematical convention we take only the positive (principal) square root as the standard deviation, never the negative root.
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- CBSE 2025Set ANNUAL1 markQ.Write true or false: The value of standard deviation depends on all the values of the variable. Or Write true or false: If each value of a variable is multiplied by 10, the range remains the same.
›Reveal solutionSolution
'SD depends on all values' — True, since every observation enters the sum of squared deviations. 'Range stays the same if every value is multiplied by 10' — False, range is also multiplied by 10.
Main statement: Standard deviation is calculated as the square root of the average of the squared deviations of EVERY value from the mean: SD = √[Σ(X − mean)² / N]. Because each and every observation contributes a term to this sum (not just the extreme values), standard deviation genuinely reflects the spread of the complete data set. This statement is True.
Or alternative: Range = Maximum value − Minimum value. If every value in the data set is multiplied by a constant k (here, k = 10), the new maximum becomes 10 × (old maximum) and the new minimum becomes 10 × (old minimum). The new range is therefore:
…
- CBSE 2024Set ANNUAL1 markQ.Rectify the underlined portions of the following sentences : Standard deviation is relative measure of dispersion.
›Reveal solutionSolution
Correction: "relative" should be absolute measure of dispersion.
Absolute measures of dispersion are in the original units of the data; standard deviation σ is one such absolute measure. The corresponding relative measure (unit-free) is the coefficient of …
- CBSE 2024Set ANNUAL1 markQ.Fill in the blank: Variance is the ___ of the range. Or Fill in the blank: The maximum value of the Lorenz ratio is ___.
›Reveal solutionSolution
Variance is a more refined (improved) measure of dispersion than the simple range, since it is based on every value's deviation from the mean rather than just the two extreme values; the Lorenz ratio's maximum value is 1, occurring under complete/perfect inequality.
Main blank -- 'Variance is the ___ of the range': The range only uses the highest and lowest values of a series and ignores every value in between, so it can be misleading when there are extreme outliers or when most of the data is bunched together. Variance improves on this by using the deviation of EVERY observation from the arithmetic mean (squared, then averaged), so it reflects the dispersion of the whole series, not just its two extremes. Variance is therefore considered a more scientific/improved measure of dispersion compared with the range.
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- CBSE 2023Set ANNUAL1 markMCQQ.Standard deviation is a measure of :(a) Central tendency(b) Dispersion(c) Variation(d) Association
›Reveal solutionSolution
Standard deviation is a measure of dispersion.
Standard deviation is defined as the positive square root of the mean of the squared deviations of the values from their arithmetic mean. It quantifies how widely the observations are spread (scattered) about the mean — that is exactly what a measure of dispersion does. Measures of central tendency (mean …
- CBSE 2023Set ANNUAL1 markQ.Rectify the underlined portions of the following sentences : Standard deviation is a relative measure of dispersion.
›Reveal solutionSolution
Replace relative with absolute: standard deviation is an absolute measure of dispersion.
Measures of dispersion are of two kinds:
- Absolute measures — expressed in the same units as the data (range, quartile deviation, mean deviation, standard deviation).
- Relative measures — unit-free ratios/percentages used for comparison (coefficient of range, coefficient of variation, etc.). …
- CBSE 2022Set ANNUAL1 markMCQQ.The standard deviation of 2 and 4 is :(a) 1(b) −1(c) 2(d) −2
›Reveal solutionSolution
xˉ=3, σ=2(−1)2+(1)2=1.
Mean:
xˉ=22+4=3.
Deviations and their squares:
2−3=−1⇒1,4−3=1⇒1.
Variance and standard deviation: …
- CBSE 2019Set ANNUAL1 markQ.Rectify the underlined portions of the following sentences:(iii) Standard deviation is <u>one</u> if all the values of a variable are equal.
›Reveal solutionSolution
The correct word is zero — equal values give zero dispersion.
Standard deviation measures how much the values scatter around their arithmetic mean:
σ=N∑(x−xˉ)2
…
- CBSE 2018Set ANNUAL1 markMCQQ.If the given values of a variable are all equal to 2, then its standard deviation is(a) negative(b) zero(c) positive(d) 2.
›Reveal solutionSolution
A variable with no variation at all has standard deviation exactly zero, option (b).
Standard deviation measures the extent to which individual values of a variable are spread out around their mean. If every single observation in a dataset has the SAME value (here, all equal to 2), then the mean of the dataset is also exactly 2, and every individual observation's DEVIATION from the mean (xi - mean) is 0. Since standard deviation is the square root of the average of these squared deviations, and every squared deviation here is 0, the standard deviation itself must be exactly 0. Standard deviation, being a square root of a sum of squares (which can never be negative), can never itse …
- CBSE 2018Set ANNUAL1 markQ.Fill in the blank: Greater is the value of the Gini coefficient, ___ will be the magnitude of inequality in income distribution. Or Fill in the blank: The minimum value of standard deviation is ___.
›Reveal solutionSolution
A higher Gini coefficient means greater income inequality; standard deviation's minimum possible value is zero.
Main blank - Gini coefficient
The Gini coefficient is a widely-used summary measure of income (or wealth) inequality, derived from the Lorenz curve, and ranges in value from 0 to 1. A value of 0 represents PERFECT EQUALITY (everyone has an identical income), while a value of 1 represents MAXIMUM/complete inequality (one person/household holds the entire income of the economy). Therefore, the GREATER the value of the Gini coefficient, the GREATER is the degree of inequality in the distribution of income in that economy - this is exactly how the measure is constructed and interpreted.
Or - Minimum value of standard deviation …
- CBSE 2017Set ANNUAL1 markQ.Fill in the blank: If the inequality of income is ___, the Lorenz curve coincides with the line of perfect equality. Or Fill in the blank: If each value of a variable is the same, the value of standard deviation will be ___.
›Reveal solutionSolution
Zero income inequality makes the Lorenz curve coincide with the diagonal; identical data values always give a standard deviation of zero.
Lorenz curve and zero inequality. The diagonal line in a Lorenz-curve diagram represents perfect equality — every X% of the population holding exactly X% of total income. The ACTUAL Lorenz curve coincides with this diagonal only in the special case where income inequality is ZERO, i.e., income is distributed perfectly equally among the population.
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