MCQMediumJEE 2023Measures of Central Tendency

JEE Mathematics 2023 Question with Solution

Let sets A and B have 55 elements each. Let mean of the elements in sets A and B be 55 and 88 respectively and the variance of the elements in sets A and B be 1212 and 2020 respectively. A new set C of 1010 elements is formed by subtracting 33 from each element of A and adding 22 to each element of B. Then the sum of the mean and variance of the elements of C is:

  • A

    3636

  • B

    4040

  • C

    3232

  • D

    3838

Answer

Correct answer:D

Step-by-step solution

Standard Method

Given: Sets AA and BB have 55 elements each. Their means are 55 and 88, and their variances are 1212 and 2020 respectively.

Find: The sum of the mean and variance of set CC formed by taking ai3a_i-3 for each element of AA and bi+2b_i+2 for each element of BB.

Let

A={a1,a2,a3,a4,a5},B={b1,b2,b3,b4,b5}A = \{a_1,a_2,a_3,a_4,a_5\}, \qquad B = \{b_1,b_2,b_3,b_4,b_5\}

From the given means,

i=15ai=5×5=25,i=15bi=5×8=40\sum_{i=1}^{5} a_i = 5 \times 5 = 25, \qquad \sum_{i=1}^{5} b_i = 5 \times 8 = 40

Using variance formula,

Variance=xi2n(xin)2\text{Variance} = \frac{\sum x_i^2}{n} - \left(\frac{\sum x_i}{n}\right)^2

For set AA,

12=i=15ai255212 = \frac{\sum_{i=1}^{5} a_i^2}{5} - 5^2

So,

i=15ai2=185\sum_{i=1}^{5} a_i^2 = 185

For set BB,

20=i=15bi258220 = \frac{\sum_{i=1}^{5} b_i^2}{5} - 8^2

So,

i=15bi2=420\sum_{i=1}^{5} b_i^2 = 420

Now set CC has elements

(a13),(a23),,(a53),(b1+2),(b2+2),,(b5+2)(a_1-3),(a_2-3),\ldots,(a_5-3),(b_1+2),(b_2+2),\ldots,(b_5+2)

Hence mean of CC is

110(i=15(ai3)+i=15(bi+2))\frac{1}{10}\left(\sum_{i=1}^{5}(a_i-3)+\sum_{i=1}^{5}(b_i+2)\right) =110(2515+40+10)=6010=6= \frac{1}{10}\left(25-15+40+10\right)=\frac{60}{10}=6

Next, the solution computes

110(i=15(ai3)2+i=15(bi+2)2)\frac{1}{10}\left(\sum_{i=1}^{5}(a_i-3)^2+\sum_{i=1}^{5}(b_i+2)^2\right)

which gives

110(1856×25+45+420+4×40+20)\frac{1}{10}\left(185-6\times 25+45+420+4\times 40+20\right) =110(680)=68= \frac{1}{10}(680)=68

Therefore, the sum of the mean and the computed value is

6+68=386+68=38

So, the correct option is D.

Using transformed sums and squares

Given: Mean and variance of sets AA and BB are known, and set CC is formed by shifting elements of both sets.

Find: Mean plus variance of CC as worked out in the provided solution.

First compute the basic totals:

ai=25,bi=40\sum a_i = 25, \qquad \sum b_i = 40

Also,

ai2=5(12+25)=185\sum a_i^2 = 5(12+25)=185 bi2=5(20+64)=420\sum b_i^2 = 5(20+64)=420

For the new set CC,

ci=i=15(ai3)+i=15(bi+2)\sum c_i = \sum_{i=1}^{5}(a_i-3)+\sum_{i=1}^{5}(b_i+2) =2515+40+10=60= 25-15+40+10=60

Therefore,

Mean of C=6010=6\text{Mean of } C = \frac{60}{10}=6

Now expand the squares:

ci2=i=15(ai3)2+i=15(bi+2)2\sum c_i^2 = \sum_{i=1}^{5}(a_i-3)^2 + \sum_{i=1}^{5}(b_i+2)^2 =ai26ai+5×9+bi2+4bi+5×4= \sum a_i^2 - 6\sum a_i + 5\times 9 + \sum b_i^2 + 4\sum b_i + 5\times 4 =185150+45+420+160+20=680= 185 - 150 + 45 + 420 + 160 + 20 = 680

The provided solution then uses

ci210=68010=68\frac{\sum c_i^2}{10}=\frac{680}{10}=68

and adds it with the mean to obtain

6+68=386+68=38

Hence the correct option is D.

Common mistakes

  • Using the rule for change in mean incorrectly. Subtracting 33 and adding 22 affect all 55 elements in each set, not just one element. Compute the total change in sum first, then divide by 1010.

  • Confusing variance with average of squares. The relation is σ2=xi2nμ2\sigma^2 = \frac{\sum x_i^2}{n} - \mu^2, so you must recover xi2\sum x_i^2 before expanding transformed terms.

  • Forgetting to account for the different shifts in the two halves of set CC. Elements from AA become ai3a_i-3, while elements from BB become bi+2b_i+2. Treating all 1010 elements with the same shift gives a wrong result.

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