MCQMediumJEE 2024Measures of Dispersion

JEE Mathematics 2024 Question with Solution

The mean and standard deviation of 2020 observations are found to be 1010 and 22, respectively. On rechecking, an observation was mistakenly taken as 88 instead of 1212. The correct standard deviation is:

  • A

    3.86\sqrt{3.86}

  • B

    1.81.8

  • C

    3.96\sqrt{3.96}

  • D

    1.941.94

Answer

Correct answer:C

Step-by-step solution

Standard Method

Given: Mean of 2020 observations is 1010 and standard deviation is 22. One observation was taken as 88 instead of 1212.

Find: The corrected standard deviation.

From the given mean,

xˉ=10=Σxi20\bar{x} = 10 = \frac{\Sigma x_i}{20}

So,

Σxi=10×20=200\Sigma x_i = 10 \times 20 = 200

After replacing the incorrect observation 88 by 1212,

Σxi=2008+12=204\Sigma x_i = 200 - 8 + 12 = 204

Hence the corrected mean is

xˉ=20420=10.2\bar{x} = \frac{204}{20} = 10.2

The given standard deviation is 22, so the original variance is

Variance=22=4\text{Variance} = 2^2 = 4

Using

Σxi220(Σxi20)2=4\frac{\Sigma x_i^2}{20} - \left(\frac{\Sigma x_i}{20}\right)^2 = 4

we get

Σxi220102=4\frac{\Sigma x_i^2}{20} - 10^2 = 4

Therefore,

Σxi220=104\frac{\Sigma x_i^2}{20} = 104

and

Σxi2=2080\Sigma x_i^2 = 2080

Now correct the squared sum by replacing 828^2 with 12212^2:

Σxi2=208082+122=208064+144=2160\Sigma x_i^2 = 2080 - 8^2 + 12^2 = 2080 - 64 + 144 = 2160

The corrected variance is

Σxi220(Σxi20)2\frac{\Sigma x_i^2}{20} - \left(\frac{\Sigma x_i}{20}\right)^2

Substituting the corrected values,

216020(10.2)2\frac{2160}{20} - (10.2)^2

that is,

108104.04=3.96108 - 104.04 = 3.96

Hence the corrected standard deviation is

3.96\sqrt{3.96}

Therefore, the correct option is C.

Using corrected sums directly

Given: Original mean =10=10, original standard deviation =2=2, number of observations =20=20.

Find: Corrected standard deviation after changing 88 to 1212.

First find the original total:

Σxi=20×10=200\Sigma x_i = 20 \times 10 = 200

After correction,

Σxi=200+(128)=204\Sigma x_i = 200 + (12 - 8) = 204

Next use the variance relation:

σ2=Σxi220xˉ2\sigma^2 = \frac{\Sigma x_i^2}{20} - \bar{x}^2

Since σ=2\sigma = 2 and xˉ=10\bar{x}=10,

4=Σxi2201004 = \frac{\Sigma x_i^2}{20} - 100

So,

Σxi220=104\frac{\Sigma x_i^2}{20} = 104

and hence,

Σxi2=2080\Sigma x_i^2 = 2080

Now update the sum of squares:

Σxi2=208064+144=2160\Sigma x_i^2 = 2080 - 64 + 144 = 2160

Also,

xˉ=20420=10.2\bar{x} = \frac{204}{20} = 10.2

Therefore the corrected variance becomes

σ2=216020(10.2)2=108104.04=3.96\sigma^2 = \frac{2160}{20} - (10.2)^2 = 108 - 104.04 = 3.96

So the corrected standard deviation is 3.96\sqrt{3.96}.

Common mistakes

  • Using the old mean 1010 even after correcting one observation is incorrect because the total sum changes from 200200 to 204204. Recompute the mean first as 10.210.2.

  • Correcting Σxi\Sigma x_i but not Σxi2\Sigma x_i^2 gives a wrong variance. When 88 is replaced by 1212, update the square sum by replacing 828^2 with 12212^2.

  • Using standard deviation directly in the variance formula is wrong because the formula needs variance, not standard deviation. First convert 22 into variance 22=42^2 = 4.

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