NVAMediumJEE 2023Measures of Central Tendency

JEE Mathematics 2023 Question with Solution

The mean and variance of 77 observations are 88 and 1616, respectively. If one observation 1414 is omitted and aa and bb are respectively the mean and variance of the remaining 66 observations, then a+3b5a + 3b - 5 is equal to:

Answer

Correct answer:37

Step-by-step solution

Standard Method

Given: The mean and variance of 77 observations are 88 and 1616 respectively. One observation 1414 is omitted.

Find: The value of a+3b5a + 3b - 5, where aa and bb are the mean and variance of the remaining 66 observations.

The mean of the 77 observations is

x1+x2++x77=8\frac{x_1 + x_2 + \cdots + x_7}{7} = 8

So, the total sum is

x1+x2++x7=8×7=56x_1 + x_2 + \cdots + x_7 = 8 \times 7 = 56

When the observation 1414 is omitted, the sum of the remaining 66 observations is

x1+x2++x6=5614=42x_1 + x_2 + \cdots + x_6 = 56 - 14 = 42

Hence, the mean of the remaining observations is

a=426=7a = \frac{42}{6} = 7

Using the variance formula for the 77 observations,

Variance=i=17xi27(i=17xi7)2\text{Variance} = \frac{\sum_{i=1}^7 x_i^2}{7} - \left(\frac{\sum_{i=1}^7 x_i}{7}\right)^2

Substituting the known values,

i=17xi2782=16\frac{\sum_{i=1}^7 x_i^2}{7} - 8^2 = 16 i=17xi27=80\frac{\sum_{i=1}^7 x_i^2}{7} = 80

Therefore,

i=17xi2=80×7=560\sum_{i=1}^7 x_i^2 = 80 \times 7 = 560

Now,

i=17xi2=i=16xi2+142\sum_{i=1}^7 x_i^2 = \sum_{i=1}^6 x_i^2 + 14^2

So,

i=16xi2=560196=364\sum_{i=1}^6 x_i^2 = 560 - 196 = 364

For the remaining 66 observations,

b=i=16xi26(i=16xi6)2b = \frac{\sum_{i=1}^6 x_i^2}{6} - \left(\frac{\sum_{i=1}^6 x_i}{6}\right)^2

Substituting the values,

b=364672=364649=706b = \frac{364}{6} - 7^2 = \frac{364}{6} - 49 = \frac{70}{6}

Now compute

a+3b5=7+3×7065a + 3b - 5 = 7 + 3 \times \frac{70}{6} - 5 3×706=2106=353 \times \frac{70}{6} = \frac{210}{6} = 35

Hence,

a+3b5=7+355=37a + 3b - 5 = 7 + 35 - 5 = 37

Therefore, the value of a+3b5a + 3b - 5 is 3737.

Expanded Variance Computation

Given: Mean =8= 8, variance =16= 16 for 77 observations, and one observation is 1414.

Find: aa, bb, and then a+3b5a + 3b - 5.

First find the total sum:

i=17xi=7×8=56\sum_{i=1}^7 x_i = 7 \times 8 = 56

After removing 1414,

i=16xi=5614=42\sum_{i=1}^6 x_i = 56 - 14 = 42

Thus,

a=426=7a = \frac{42}{6} = 7

Now use the variance relation

16=i=17xi278216 = \frac{\sum_{i=1}^7 x_i^2}{7} - 8^2 16=i=17xi276416 = \frac{\sum_{i=1}^7 x_i^2}{7} - 64 i=17xi27=80\frac{\sum_{i=1}^7 x_i^2}{7} = 80 i=17xi2=560\sum_{i=1}^7 x_i^2 = 560

Removing the square of the omitted observation,

i=16xi2=560142=560196=364\sum_{i=1}^6 x_i^2 = 560 - 14^2 = 560 - 196 = 364

Now for the remaining 66 observations,

b=3646(426)2b = \frac{364}{6} - \left(\frac{42}{6}\right)^2 b=364672b = \frac{364}{6} - 7^2 b=364649=3642946=706b = \frac{364}{6} - 49 = \frac{364 - 294}{6} = \frac{70}{6}

Finally,

a+3b5=7+37065=7+355=37a + 3b - 5 = 7 + 3 \cdot \frac{70}{6} - 5 = 7 + 35 - 5 = 37

So, the required numerical value is 3737.

Common mistakes

  • Using the omitted observation 1414 directly to adjust the mean but forgetting to remove 14214^2 from the sum of squares for variance. This is wrong because variance depends on squared observations. Instead, subtract 196196 from the total sum of squares.

  • Applying the variance formula as xi2nxin\frac{\sum x_i^2}{n} - \frac{\sum x_i}{n} instead of xi2n(xin)2\frac{\sum x_i^2}{n} - \left(\frac{\sum x_i}{n}\right)^2. This is wrong because the square must apply to the mean. Always square the mean term.

  • Computing bb correctly but then evaluating a+3b5a + 3b - 5 incorrectly by mishandling the factor 33. Multiply b=706b = \frac{70}{6} by 33 first, then simplify before combining terms.

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