NVAMediumJEE 2023Measures of Dispersion

JEE Mathematics 2023 Question with Solution

If the mean and variance of the frequency distribution:

A frequency distribution table with rows x_i and f_i. The values are x_i: 2, 4, 6, 8, 10, 12, 14, 16 and f_i: 4, 4, α, 15, 8, β, 4, 5.

are 99 and 15.0815.08 respectively, then the value of α2+β2αβ\alpha^2 + \beta^2 - \alpha\beta is:

Answer

Correct answer:25

Step-by-step solution

Standard Method

Given: The mean is 99 and the variance is 15.0815.08 for the given frequency distribution.

Find: The value of α2+β2αβ\alpha^2 + \beta^2 - \alpha\beta.

Using the table,

N=fi=40+α+βN = \sum f_i = 40 + \alpha + \beta fixi=360+6α+12β\sum f_i x_i = 360 + 6\alpha + 12\beta fixi2=3904+36α+144β\sum f_i x_i^2 = 3904 + 36\alpha + 144\beta

Mean (x)\left(\overline{x}\right) is:

x=fixifi=9\overline{x} = \frac{\sum f_i x_i}{\sum f_i} = 9

So,

360+6α+12β40+α+β=9\frac{360 + 6\alpha + 12\beta}{40 + \alpha + \beta} = 9

Hence,

360+6α+12β=9(40+α+β)360 + 6\alpha + 12\beta = 9(40 + \alpha + \beta) 360+6α+12β=360+9α+9β360 + 6\alpha + 12\beta = 360 + 9\alpha + 9\beta 3β=3αα=β3\beta = 3\alpha \Rightarrow \alpha = \beta

Now use the variance formula:

σ2=fixi2fi(fixifi)2\sigma^2 = \frac{\sum f_i x_i^2}{\sum f_i} - \left(\frac{\sum f_i x_i}{\sum f_i}\right)^2

Substituting the given values,

3904+36α+144β40+α+β92=15.08\frac{3904 + 36\alpha + 144\beta}{40 + \alpha + \beta} - 9^2 = 15.08

Since α=β\alpha = \beta,

3904+180α40+2α81=15.08\frac{3904 + 180\alpha}{40 + 2\alpha} - 81 = 15.08

This gives

3904+180α40+2α=96.08\frac{3904 + 180\alpha}{40 + 2\alpha} = 96.08

Solving, we get α=5\alpha = 5 and β=5\beta = 5. Therefore,

α2+β2αβ=52+5255=25\alpha^2 + \beta^2 - \alpha\beta = 5^2 + 5^2 - 5 \cdot 5 = 25

So, the required value is 2525.

Using Mean First, Then Variance

Given: The frequency distribution has unknown frequencies α\alpha and β\beta, with mean 99 and variance 15.0815.08.

Find: α2+β2αβ\alpha^2 + \beta^2 - \alpha\beta.

From the distribution,

  • total frequency: 40+α+β40 + \alpha + \beta
  • sum fixi\sum f_i x_i: 360+6α+12β360 + 6\alpha + 12\beta
  • sum fixi2\sum f_i x_i^2: 3904+36α+144β3904 + 36\alpha + 144\beta

Using the mean,

360+6α+12β40+α+β=9\frac{360 + 6\alpha + 12\beta}{40 + \alpha + \beta} = 9

Cross-multiplying,

360+6α+12β=360+9α+9β360 + 6\alpha + 12\beta = 360 + 9\alpha + 9\beta 12β9β=9α6α12\beta - 9\beta = 9\alpha - 6\alpha 3β=3α3\beta = 3\alpha α=β\alpha = \beta

Now apply variance:

15.08=3904+36α+144β40+α+β8115.08 = \frac{3904 + 36\alpha + 144\beta}{40 + \alpha + \beta} - 81

So,

96.08=3904+36α+144β40+α+β96.08 = \frac{3904 + 36\alpha + 144\beta}{40 + \alpha + \beta}

Using α=β\alpha = \beta,

96.08=3904+180α40+2α96.08 = \frac{3904 + 180\alpha}{40 + 2\alpha}

Now solve this linear equation to obtain α=5\alpha = 5. Hence β=5\beta = 5. Finally,

α2+β2αβ=25+2525=25\alpha^2 + \beta^2 - \alpha\beta = 25 + 25 - 25 = 25

Therefore, the required numerical value is 2525.

Common mistakes

  • Using the mean formula incorrectly by taking xi/n\sum x_i / n instead of the weighted mean fixi/fi\sum f_i x_i / \sum f_i. This ignores the frequencies. Always use the frequency-weighted formula for a distribution table.

  • Applying the variance formula as fixi2fix\frac{\sum f_i x_i^2}{\sum f_i} - \overline{x} instead of fixi2fix2\frac{\sum f_i x_i^2}{\sum f_i} - \overline{x}^2. The mean must be squared in the second term.

  • Not forming fixi\sum f_i x_i and fixi2\sum f_i x_i^2 correctly for the unknown-frequency columns. Terms like 6α6\alpha, 36α36\alpha, 12β12\beta, and 144β144\beta must be included carefully from the table.

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