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Miscellaneous Examples · Example 16

Q.The mean and standard deviation of 100 observations were calculated as 40 and 5.1, respectively by a student who took by mistake 50 instead of 40 for one observation. What are the correct mean and standard deviation?

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The correct mean is 39.9 and the correct standard deviation is approximately 5.0. The key idea is to first undo the effect of the wrong value on the sum and sum of squares, then redo with the correct value.

Why This Approach Works

When a single observation is wrong, the mean and standard deviation change in predictable ways because both depend on two quantities: the sum of all observations (∑xi\sum x_i) and the sum of their squares (∑xi2\sum x_i^2). The mean uses only the sum, while the standard deviation uses both.

The student's incorrect calculations used 50 instead of 40 for one observation. So the wrong sum is too large by 10, and the wrong sum of squares is too large by 502−402=2500−1600=90050^2 - 40^2 = 2500 - 1600 = 900. Correcting these two totals is all we need — then we recompute the mean and standard deviation from scratch.

Watch out

A common mistake is to think you can directly adjust the mean and standard deviation by simple subtraction. You cannot — standard deviation is not linear. Always go back to the sums.

Step-by-Step Solution

1. Find the incorrect sum of observations

The incorrect mean is 40 for 100 observations:

Incorrect sum=40×100=4000\text{Incorrect sum} = 40 \times 100 = 4000

2. Find the incorrect sum of squares

The incorrect standard deviation is 5.1. Recall the formula:

σ=∑xi2n−(∑xin)2\sigma = \sqrt{\frac{\sum x_i^2}{n} - \left(\frac{\sum x_i}{n}\right)^2}

Squaring both sides:

σ2=∑xi2n−xˉ2\sigma^2 = \frac{\sum x_i^2}{n} - \bar{x}^2

Plug in the incorrect values:

(5.1)2=Incorrect ∑xi2100−(40)2(5.1)^2 = \frac{\text{Incorrect } \sum x_i^2}{100} - (40)^2

26.01=Incorrect ∑xi2100−160026.01 = \frac{\text{Incorrect } \sum x_i^2}{100} - 1600

Incorrect ∑xi2100=1626.01\frac{\text{Incorrect } \sum x_i^2}{100} = 1626.01

Incorrect ∑xi2=162601\text{Incorrect } \sum x_i^2 = 162601

3. Correct the sum of observations

The wrong value 50 was used instead of 40. So we remove the wrong value and add the correct one:

Correct sum=4000−50+40=3990\text{Correct sum} = 4000 - 50 + 40 = 3990 …

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