
Let ${{x}_{i}}(1\le i\le 10)$be ten observations of a random variable X. if
$\sum\limits_{i=1}^{10}{({{x}_{i}}-p)}$ = 3
And $\sum\limits_{i=1}^{10}{{{({{x}_{i}}-p)}^{2}}}$ = 9
Where 0 $\ne p\in R$ then the standard deviation of these observations is
(a)$\dfrac{7}{10}$
(b)$\dfrac{9}{10}$
( c)$\sqrt{\dfrac{3}{5}}$
(d)$\dfrac{4}{5}$
Answer
233.1k+ views
Hint: We are given the ten observations of a random variable and we have to find out the standard observation. To solve this question, first we find out the mean of the given observations. Then we find out the variance but they already give us these values. So we do not need to find it. We use the formula $\dfrac{\sum{{{({{x}_{i}}-p)}^{2}}}}{n}$ - ${{\left( \dfrac{\sum{({{x}_{i}}-p)}}{n} \right)}^{2}}$. We simply subtract the values and get our desirable answer.
Complete step by step solution:
Given that
$\sum\limits_{i=1}^{10}{({{x}_{i}}-p)}$ = 3
And $\sum\limits_{i=1}^{10}{{{({{x}_{i}}-p)}^{2}}}$ = 9
As the standard deviation is free from shifting of origin.
As the values of variance are given. We directly use these values to find out the answer.
We know the formula of variance = $\dfrac{\sum{{{({{x}_{i}}-p)}^{2}}}}{n}$ - ${{\left( \dfrac{\sum{({{x}_{i}}-p)}}{n} \right)}^{2}}$
Standard deviation = $\sqrt{\operatorname{var}iance}$
= $\sqrt{\left[ \left( \dfrac{9}{10} \right)-{{\left( \dfrac{3}{10} \right)}^{2}} \right]}$
By solving the above equation, we get
$\sqrt{\left[ \left( \dfrac{9}{10} \right)-{{\left( \dfrac{3}{10} \right)}^{2}} \right]}$ = $\sqrt{\left[ \left( \dfrac{9}{10} \right)-\left( \dfrac{9}{100} \right) \right]}$
By solving it, we get
$\sqrt{\left[ \left( \dfrac{9}{10} \right)-\left( \dfrac{9}{100} \right) \right]}$ = $\sqrt{\left[ \left( \dfrac{81}{100} \right) \right]}$
Then the value of $\sqrt{\left[ \left( \dfrac{81}{100} \right) \right]}$ = $\dfrac{9}{10}$
Hence the value of standard observations of these variables is $\dfrac{9}{10}$
Thus, Option (B) is correct.
Note: In these types of questions, students made mistakes in the calculation part. As the values of variance are given some students get confused and they try to find out the variance which is already given in the question. In this question, mainly students have to know the formula of variance, then the student will be able to find out the answer easily. Be careful while doing calculations as many students made mistakes in the calculation part
Complete step by step solution:
Given that
$\sum\limits_{i=1}^{10}{({{x}_{i}}-p)}$ = 3
And $\sum\limits_{i=1}^{10}{{{({{x}_{i}}-p)}^{2}}}$ = 9
As the standard deviation is free from shifting of origin.
As the values of variance are given. We directly use these values to find out the answer.
We know the formula of variance = $\dfrac{\sum{{{({{x}_{i}}-p)}^{2}}}}{n}$ - ${{\left( \dfrac{\sum{({{x}_{i}}-p)}}{n} \right)}^{2}}$
Standard deviation = $\sqrt{\operatorname{var}iance}$
= $\sqrt{\left[ \left( \dfrac{9}{10} \right)-{{\left( \dfrac{3}{10} \right)}^{2}} \right]}$
By solving the above equation, we get
$\sqrt{\left[ \left( \dfrac{9}{10} \right)-{{\left( \dfrac{3}{10} \right)}^{2}} \right]}$ = $\sqrt{\left[ \left( \dfrac{9}{10} \right)-\left( \dfrac{9}{100} \right) \right]}$
By solving it, we get
$\sqrt{\left[ \left( \dfrac{9}{10} \right)-\left( \dfrac{9}{100} \right) \right]}$ = $\sqrt{\left[ \left( \dfrac{81}{100} \right) \right]}$
Then the value of $\sqrt{\left[ \left( \dfrac{81}{100} \right) \right]}$ = $\dfrac{9}{10}$
Hence the value of standard observations of these variables is $\dfrac{9}{10}$
Thus, Option (B) is correct.
Note: In these types of questions, students made mistakes in the calculation part. As the values of variance are given some students get confused and they try to find out the variance which is already given in the question. In this question, mainly students have to know the formula of variance, then the student will be able to find out the answer easily. Be careful while doing calculations as many students made mistakes in the calculation part
Recently Updated Pages
JEE Main 2023 April 6 Shift 1 Question Paper with Answer Key

JEE Main 2023 April 6 Shift 2 Question Paper with Answer Key

JEE Main 2023 (January 31 Evening Shift) Question Paper with Solutions [PDF]

JEE Main 2023 January 30 Shift 2 Question Paper with Answer Key

JEE Main 2023 January 25 Shift 1 Question Paper with Answer Key

JEE Main 2023 January 24 Shift 2 Question Paper with Answer Key

Trending doubts
JEE Main 2026: Session 2 Registration Open, City Intimation Slip, Exam Dates, Syllabus & Eligibility

JEE Main 2026 Application Login: Direct Link, Registration, Form Fill, and Steps

Understanding the Angle of Deviation in a Prism

Hybridisation in Chemistry – Concept, Types & Applications

How to Convert a Galvanometer into an Ammeter or Voltmeter

Understanding the Electric Field of a Uniformly Charged Ring

Other Pages
JEE Advanced Marks vs Ranks 2025: Understanding Category-wise Qualifying Marks and Previous Year Cut-offs

JEE Advanced Weightage 2025 Chapter-Wise for Physics, Maths and Chemistry

Derivation of Equation of Trajectory Explained for Students

Understanding Electromagnetic Waves and Their Importance

Understanding How a Current Loop Acts as a Magnetic Dipole

Understanding Average and RMS Value in Electrical Circuits

