Verified Solution • 2025–26 Session moderate

QJEEM25Ma8612: JEE Main 2025 Mathematics - Class 11 JEEM25Ma8612 Solution: Let be ten observations such that , , , and their variance is . …

Let x1,x2,...,x10x_1, x_2, ..., x_{10} be ten observations such that ∑i=110(xi−2)=30\sum\limits_{i=1}^{10} (x_i - 2) = 30 , ∑i=110(xi−β)2=98\sum\limits_{i=1}^{10} (x_i - \beta)^2 = 98 , \beta > 2 , and their variance is 45\frac{4}{5} . If μ\mu and σ2\sigma^2 are respectively the mean and the variance of 2(x1−1)+4β,2(x2−1)+4β,...,2(x10−1)+4β2(x_1 - 1) + 4\beta, 2(x_2 - 1) + 4\beta, ..., 2(x_{10} - 1) + 4\beta , then βμσ2\frac{\beta\mu}{\sigma^2} is equal to :

Multiple Choice Options

  • A 100
  • B 90
  • C 120
  • D 110

Step-by-Step Verified Solution

amp;∑i=110xi=50,∴ mean =5amp; Variance =45=∑xi210−(∑xi10)2amp;45=∑xi210−25amp;⇒∑xi2=258.... (1)amp; Now ∑i=110(xi−β)2=98amp;∑i=110(xi2−2β⋅xi+β2)=98amp;258−2β(50)+10β2=98amp;(β−8)(β−2)=0amp;β= or β=2( as βgt;2)amp;∴β=8..... (2)\begin{aligned}& \sum_{\mathrm{i}=1}^{10} \mathrm{x}_{\mathrm{i}}=50, \quad \therefore \text { mean }=5 \\& \text { Variance }=\frac{4}{5}=\frac{\sum \mathrm{x}_{\mathrm{i}}^2}{10}-\left(\frac{\sum \mathrm{x}_{\mathrm{i}}}{10}\right)^2 \\& \frac{4}{5}=\frac{\sum \mathrm{x}_{\mathrm{i}}^2}{10}-25 \\& \Rightarrow \sum \mathrm{x}_{\mathrm{i}}^2=258 \quad\text{.... (1)}\\& \text { Now } \sum_{\mathrm{i}=1}^{10}\left(\mathrm{x}_{\mathrm{i}}-\beta\right)^2=98 \\& \sum_{\mathrm{i}=1}^{10}\left(\mathrm{x}_{\mathrm{i}}^2-2 \beta \cdot \mathrm{x}_{\mathrm{i}}+\beta^2\right)=98 \\& 258-2 \beta(50)+10 \beta^2=98 \\& (\beta-8)(\beta-2)=0 \\& \beta=\text { or } \beta=2 \quad(\text { as } \beta>2) \\& \therefore \beta=8\quad\text{..... (2)}\end{aligned}

Now as per the question

amp;2(x1−1)+4β,2(x2−1)+4β,….2(x10−1)+4βamp; can be simplified to amp;2x1+30,2x2+30,…..2x10+30 using eq. (2) amp;μ=2(5)+30=40..... (3)amp;σ2=22(45)=165amp;∵βμσ2=8×4016/5=100\begin{aligned}&2\left(\mathrm{x}_1-1\right)+4 \beta, 2\left(\mathrm{x}_2-1\right)+4 \beta, \ldots .2\left(\mathrm{x}_{10}-1\right)+4 \beta\\&\text { can be simplified to }\\&2 \mathrm{x}_1+30,2 \mathrm{x}_2+30, \ldots . .2 \mathrm{x}_{10}+30 \text { using eq. (2) }\\&\mu=2(5)+30=40\quad\text{..... (3)}\\&\sigma^2=2^2\left(\frac{4}{5}\right)=\frac{16}{5}\\&\because \frac{\beta \mu}{\sigma^2}=\frac{8 \times 40}{16 / 5}=100\end{aligned}

Related Learning Resources & Exam Preparation