Statistics: Tricky Questions Solved (3)

hard 3 min read

Question

The mean of 1010 observations is 2525. If each observation is multiplied by 33 and then 55 is subtracted from each, what is the new mean? Then, if the standard deviation of the original data was 44, what is the new standard deviation? This kind of “linear transformation of data” question is a CBSE Class 10/11 staple.

Solution — Step by Step

If each observation xix_i becomes yi=axi+by_i = ax_i + b, then:

yˉ=axˉ+b\bar{y} = a\bar{x} + b

Here a=3a = 3, b=5b = -5, xˉ=25\bar{x} = 25:

yˉ=3(25)5=755=70\bar{y} = 3(25) - 5 = 75 - 5 = 70

For yi=axi+by_i = ax_i + b:

σy=aσx\sigma_y = |a| \cdot \sigma_x

Notice: the additive constant bb does not affect the spread (it just shifts everything by the same amount). Only the multiplicative factor aa matters.

Plug in: σy=3×4=12\sigma_y = |3| \times 4 = 12.

If original data were {20,30}\{20, 30\} (mean 2525, SD 55), transformed to {55,85}\{55, 85\} (mean 7070, SD 1515). Mean ratio 70/2570/25 \neq simple, but 70=3×25570 = 3 \times 25 - 5 ✓. SD ratio 15/5=3=a15/5 = 3 = |a| ✓.

Why This Works

Mean is a linear statistic — it commutes with linear operations. Add a constant to every data point, mean increases by that constant. Multiply every data point, mean multiplies the same way.

Standard deviation measures spread around the mean. Adding a constant shifts the whole distribution but doesn’t stretch or shrink it — spread unchanged. Multiplying scales every deviation from the mean by a|a|, so SD scales by a|a|. The absolute value matters because SD is always non-negative even if aa is negative.

Alternative Method

Use the variance formula σ2=1n(xixˉ)2\sigma^2 = \tfrac{1}{n}\sum (x_i - \bar{x})^2 directly. Substitute yi=axi+by_i = ax_i + b and yˉ=axˉ+b\bar{y} = a\bar{x} + b:

σy2=1n(axi+baxˉb)2=1na2(xixˉ)2=a2σx2\sigma_y^2 = \tfrac{1}{n}\sum (ax_i + b - a\bar{x} - b)^2 = \tfrac{1}{n}\sum a^2(x_i - \bar{x})^2 = a^2 \sigma_x^2

Hence σy=aσx\sigma_y = |a|\sigma_x. This derivation is the kind of result CBSE asks in 4-mark questions.

Whenever you see a “change of scale and origin” problem, immediately apply: new mean = axˉ+ba\bar{x} + b, new SD = aσx|a|\sigma_x, new variance = a2σ2a^2\sigma^2. These three formulas knock out half the statistics PYQs in seconds.

Common Mistake

Two errors trap students:

  1. Adding bb to the SD. Wrong — only aa scales SD; bb shifts the mean only. If the question subtracts 55 from every value, SD stays the same magnitude.

  2. Forgetting the absolute value on aa. If yi=3xi+5y_i = -3x_i + 5, then σy=3σx\sigma_y = 3\sigma_x, not 3σx-3\sigma_x. SD is non-negative by definition. The negative sign would flip the data, but spread is invariant under reflection.

The other common slip: confusing variance and standard deviation under transformation. Variance scales as a2a^2; SD scales as a|a|. Always check what the question asks for.

Final answer: New mean =70= 70, new standard deviation =12= 12.

Want to master this topic?

Read the complete guide with more examples and exam tips.

Go to full topic guide →

Try These Next