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Statistics - JEE Main Previous Year Question with Solutions

Statistics questions in JEE Main typically carry 1–2 questions per paper (4–8 marks) and focus on mean deviation, variance, and standard deviation. The questions follow a predictable pattern: applying formula-based shortcuts to arithmetic progressions, combined data sets, and effect of change of origin or scale on statistical measures.
Statistics - JEE Main Previous Year Question with Solutions

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Q. If the mean deviation of the numbers 1, 1 + d, 1 + 2d, ..., 1 + 100d from their mean is 255, then that d is equal to- (1) 10.1 (2) 20.2 (3) 10.0 (4) 20.0 [AIEEE-2009]
Ans. (1) Q M.D. of A.P. a, a $+\mathrm{d}, \mathrm{a}+2 \mathrm{d}, \ldots . \mathrm{a}+2 \mathrm{nd}$ about mean is M.D.: $=\frac{\mathrm{n}(\mathrm{n}+1)}{2 \mathrm{n}+1} \mathrm{ld}$ given numbers $1,1+\mathrm{d}, 1+2 \mathrm{d}, \ldots 1+100 \mathrm{d}$ are in A.P. and its M.D. is $255 .$ Here $\mathrm{a}=1,2 \mathrm{nd}=100 \mathrm{d}$ i.e. $\mathrm{n}=50$ $\therefore \quad \frac{50 \times 51}{101}|\mathrm{d}|=255 \quad \Rightarrow \quad \mathrm{d}=10.1$
Q. Statement-1: The variance of first n even natural numbers is $\frac{\mathrm{n}^{2}-1}{4}$ Statement-2 : The sum of first n natural numbers is $\frac{\mathrm{n}(\mathrm{n}+1)}{2}$ and the sum of squares of first n natural numbers is $\frac{\mathrm{n}(\mathrm{n}+1)(2 \mathrm{n}+1)}{6}$ (1) Statement–1 is true, Statement–2 is false. (2) Statement–1 is false, Statement–2 is true. (3) Statement–1 is true, Statement–2 is true ; Statement–2 is a correct explanation for Statement–1. (4) Statement–1 is true, Statement–2 is true ; Statement–2 is not a correct explanation for statement–1. [AIEEE-2009]
Ans. (2) Sum of first n even natural numbers $\Sigma \mathrm{x}_{\mathrm{i}}=2+4+6+\ldots \ldots+2 \mathrm{n}$ $=2[1+2+3+\ldots+\mathrm{n}]=\mathrm{n}(\mathrm{n}+1)$ Sum of square of first n even natural numbers $\Sigma \mathrm{x}_{\mathrm{i}}^{2}=2^{2}+4^{2}+6^{2}+\ldots \ldots+(2 \mathrm{n})^{2}$ $=2^{2}\left[1^{2}+2^{2}+3^{2}+\ldots+\mathrm{n}^{2}\right]=\frac{2 \mathrm{n}(\mathrm{n}+1)(2 \mathrm{n}+1)}{3}$ Variance of first n even natural numbers $\sigma^{2}=\frac{\Sigma x_{i}^{2}}{n}-\left(\frac{\Sigma x_{i}}{n}\right)^{2}$ $=\frac{2(n+1)(2 n+1)}{3}-(n+1)^{2}=\frac{n^{2}-1}{3}$ So, statement- 1 is false and statement- 2 is true.
Q. For two data sets each of size is 5, the variances are given to be 4 and 5 and the corresponding means are given to be 2 and 4 respectively, then the variance of the combined data set is :- (1) $\frac{5}{2}$              (2) $\frac{11}{2}$              (3) 6               (4) $\frac{13}{2}$ [AIEEE-2010]
Ans. (2) Here $n_{1}=n_{2}=5, \sigma_{1}^{2}=4, \sigma_{2}^{2}=5, \bar{x}_{1}=2, \bar{x}_{2}=4$ Variance of combined set $\sigma^{2}=\frac{n_{1} \sigma_{1}^{2}+n_{2} \sigma_{2}^{2}}{n_{1}+n_{2}}+\frac{n_{1} n_{2}}{\left(n_{1}+n_{2}\right)^{2}}\left(\bar{x}_{1}-\bar{x}_{2}\right)^{2}$ $=\frac{5 \times 4+5 \times 5}{(5+5)}+\frac{5 \times 5}{(5+5)^{2}}(2-4)^{2}=\frac{9}{2}+1=\frac{11}{2}$
Q. If the mean deviation about the median of the numbers a, $2 a, \ldots \ldots ., 50 \mathrm{a}$ is $50,$ then $|\mathrm{a}|$ equals: (1) 4          (2) 5           (3) 2           (4) 3 [AIEEE-2011]
Ans. (1) Mediam $=25.5 \mathrm{a}$ $\begin{aligned} \mathrm{x}_{\mathrm{i}}: & \mathrm{a} \\\left|\mathrm{x}_{\mathrm{i}}-\mathrm{M}\right|: & \mathrm{a} 4.5 \mathrm{a} \quad 2 \mathrm{a} \quad 3 \mathrm{a} \ldots \ldots \ldots \ldots 50 \mathrm{a} \\\left|\mathrm{x}_{\mathrm{i}}-\mathrm{M}\right|: & 24.5 \mathrm{a} \quad 23.5 \mathrm{a} \quad \ldots \ldots \ldots \ldots .24 .5 \mathrm{a} \\ \sum\left|\mathrm{x}_{\mathrm{i}}-\mathrm{M}\right| &=[24.5 \mathrm{a}+23.5 \mathrm{a}+\ldots \ldots+0.5 \mathrm{a}+0.5 \mathrm{a}+\ldots \ldots+24.5 \mathrm{a}] \\ &=2 \mathrm{a}[0.5+1.5+\ldots \ldots+24.5] \\ &=2 \mathrm{a}[0.5+1.5+\ldots \ldots+24.5] \\ \sum_{\mathrm{i}}\left|\mathrm{x}_{\mathrm{i}}-\mathrm{M}\right| &=25 \times 25 \mathrm{a} \\ 50 &=\frac{25 \times 25 \mathrm{a}}{50} \Rightarrow \mathrm{a}=4 \end{aligned}$
Q. A scientist is weighing each of 30 fishes. Their mean weight worked out is 30 gm and a standard deviation of 2 gm. Later, it was found that the measuring scale was misaligned and always under reported every fish weight by 2 gm. The correct mean and standard deviation (in gm) of fishes are respectively : (1) 28, 4             (2) 32, 2            (3) 32, 4             (4) 28, 2 [AIEEE-2011]
Ans. (2) $\overline{\mathrm{x}}=$ mean $=\frac{\Sigma \mathrm{x}_{\mathrm{i}}}{\mathrm{n}}$ mean of $\mathrm{x}_{\mathrm{i}}$ is given as $30 \mathrm{gm}$ If each data is increased by some number (i.e. $2)$ the mean is also increased by $2 .$ i.e. corrected mean $=30+2=32 \mathrm{gm}$ $\sigma=$ standard deviation $=\sqrt{\frac{\Sigma\left|\mathrm{x}_{\mathrm{r}_{1}}-\overline{\mathrm{x}}\right|^{2}}{\mathrm{n}}}$ standard deviation does not depend on change of origin so if every data is increased by same number (i.e. 2) then standard deviation remains same. So the corrected standard deviation = 2gm.
Q. Let $\mathrm{x}_{1}, \mathrm{x}_{2}, \ldots, \mathrm{x}_{\mathrm{n}}$ be n observations, and let $\overline{\mathrm{x}}$ be their arithmetic mean and $\sigma^{2}$ be their variance. Statement-1: Variance of $2 \mathrm{x}_{1}, 2 \mathrm{x}_{2}, \ldots, 2 \mathrm{x}_{\mathrm{n}}$ is $4 \sigma^{2}$ Statement-2 : Arithmetic mean of $2 \mathrm{x}_{1}, 2 \mathrm{x}_{2}, \ldots, 2 \mathrm{x}_{\mathrm{n}}$ is $4 \overline{\mathrm{x}}$. (1) Statement–1 is true, Statement–2 is false. (2) Statement–1 is false, Statement–2 is true. (3) Statement–1 is true, Statement–2 is true ; Statement–2 is a correct explanation for Statement–1. (4) Statement–1 is true, Statement–2 is true ; Statement–2 is not a correct explanation for Statement–1. [AIEEE-2012]
Ans. (1) therefore st–1 is true
Q. All the students of a class performed poorly in Mathematics. The teacher decided to give grace marks of 10 to each of the students. Which of the following statistical measures will not change even after the grace marks were given? (1) mean             (2) median                (3) mode                 (4) variance [JEE-MAINS-2013]
Ans. (4) Variance is independent of change of origin.
Q. The variance of first 50 even natural numbers is:- (1) $\frac{833}{4}$              (2) 833               (3) 437                (4) $\frac{437}{4}$ [JEE(Main)-2014]
Ans. (2) We have to calculate variance of the data 2, 4, 6, 8, ....., 100 $\sigma^{2}=\frac{\sum \mathrm{x}_{\mathrm{i}}^{2}}{\mathrm{n}}-\left(\frac{\sum \mathrm{x}_{\mathrm{i}}}{\mathrm{n}}\right)^{2}$ Now, $\sum x_{i}^{2}=2^{2}+4^{2}+\ldots+100^{2}=\frac{4.50 .51 .101}{6}$ Now, $\quad \frac{\sum x_{i}^{2}}{50}=3434$ Also, $\left(\frac{\sum x_{i}}{n}\right)^{2}=\left(\frac{2.50 .51}{2.50}\right)^{2}=2601$ $\therefore \sigma^{2}=3434-2601=833$.
Q. The mean of the data set comprising of 16 observations is 16. If one of the observation valued 16 is deleted and three new observations valued 3, 4 and 5 are added to the data, then the mean of the resultant data, is : (1) 15.8               (2) 14.0              (3) 16.8               (4) 16.0 [JEE(Main)-2015]
Ans. (2) $\Sigma \mathrm{x}_{\mathrm{i}}=256$ Let new observations $\mathrm{X}_{\mathrm{i}}$ $\Sigma \mathrm{X}_{\mathrm{i}}=(256-16)+(3+4+5)=252$ $\&$ number of observations 18 $\therefore$ New mean $=\frac{\Sigma \mathrm{X}_{\mathrm{i}}}{18}=14$
Q. If the standard deviation of the numbers 2, 3, a and 11 is 3.5, then which of the following is true ? (1) $3 a^{2}-23 a+44=0$ (2) $3 \mathrm{a}^{2}-26 \mathrm{a}+55=0$ (3) $3 a^{2}-32 a+84=0$ (4) $3 a^{2}-34 a+91=0$ [JEE(Main)-2016]
Ans. (3) $\because \mathrm{S.D.}=\sqrt{\frac{\Sigma \mathrm{x}_{\mathrm{i}}^{2}}{\mathrm{n}}-\left(\frac{\Sigma \mathrm{x}_{\mathrm{i}}}{\mathrm{n}}\right)^{2}}$ $\therefore \frac{49}{4}=\frac{4+9+\mathrm{a}^{2}+121}{4}-\left(\frac{16+\mathrm{a}}{4}\right)^{2}$ $\Rightarrow 3 \mathrm{a}^{2}-32 \mathrm{a}+84=0$
Q. If $\sum_{i=1}^{9}\left(x_{i}-5\right)=9$ and $\sum_{i=1}^{9}\left(x_{i}-5\right)^{2}=45,$ then the standard deviation of the 9 items $x_{1}, x_{2}, \ldots ., x_{9}$ is (1) 4              (2) 2              (3) 3             (4) 9 [JEE(Main)-2018]
Ans. (2) Hence standard deviation is 2 (As standared deviation $=\sqrt{\text { var iance }}$
Q. The mean of a set of 30 observations is 75. If each observation is multiplied by a non-zero number $\lambda$ and then each of them is decreased by 25, their mean remains the same. Then $\lambda$ is equal to (1) $\frac{2}{3}$            (2) $\frac{10}{3}$             (3) $\frac{1}{3}$             ( 4)$\frac{4}{3}$ [JEE(Main)-2018]
Ans. (4)
Q. If the mean of the data $: 7,8,9,7,8,7, \lambda, 8$ is $8,$ then the variance of this data is :- (1) 2              (2) $\frac{7}{8}$              (3) $\frac{9}{8}$              (4) 1 [JEE(Main)-2018]
Ans. (4)
Q. The mean and the standard deviation(s.d.) of five observations are 9 and 0, respectively. If one of the observations is changed such that the mean of the new set of five observations becomes 10, then their s.d. is : (1) 0                    (2) 1                    (3) 4                   (4) 2 [JEE(Main)-2018]
Ans. (4)

Frequently Asked Questions

Find answers to common questions.

What is the formula for variance of first n even natural numbers?

The variance of the first $n$ even natural numbers ($2, 4, 6, \ldots, 2n$) is $\frac{n^2-1}{3}$. A common trap in AIEEE 2009 presented $\frac{n^2-1}{4}$ as the answer — that is incorrect. Derive it using $\sigma^2 = \frac{\sum x_i^2}{n} - (\bar{x})^2$ to verify during revision.

Is Statistics important for JEE Advanced as well?

Statistics is part of the JEE Main syllabus but is not included in the JEE Advanced syllabus (as per the official IIT JEE Advanced information brochure). Focus your Statistics preparation entirely on JEE Main — it is free marks if you know the formulas.

How many questions from Statistics appear in JEE Main each year?

Statistics typically contributes 1 to 2 questions per JEE Main session, translating to 4–8 marks. Given the formula-based nature of these questions, consistent practice of PYQs makes Statistics one of the highest-scoring topics relative to the time invested. NTA's official syllabus lists Statistics under Class 11 Mathematics.

Which chapters should I study alongside Statistics for JEE Main Maths?

Statistics pairs well with revision of Sequences and Series (AP/GP formulas appear in mean deviation problems) and Permutations and Combinations. For theory, the NCERT Solutions for Class 11 Maths and Class 12 Maths cover all prerequisite concepts tested in JEE Main Statistics questions

How do I find the combined variance of two groups?

Use the formula: $\sigma^2 = \frac{n_1\sigma_1^2 + n_2\sigma_2^2}{n_1+n_2} + \frac{n_1 n_2}{(n_1+n_2)^2}(\bar{x}_1 - \bar{x}_2)^2$. The second term accounts for the difference between group means. Ignoring this term is the most frequent error students make when solving combined variance problems in JEE Main.

Does adding a constant to all observations change the standard deviation?

No. Standard deviation measures the spread between observations, not their absolute position on the number line. Adding a constant (change of origin) shifts all values equally, leaving all deviations from the mean unchanged. Variance and SD remain the same. Only the mean, median, and mode shift by that constant.

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Nigaaa
Feb. 27, 2026, 9:03 p.m.
Hi
Shweta
March 14, 2021, 4:32 p.m.
Mode, median formula based q are asked in jee or not?
Harshil Jethva
June 25, 2025, 6:35 a.m.
Yes
D rugved
March 12, 2021, 8:26 p.m.
The level of questions is moderate Tq for questions
Ekant
Jan. 23, 2021, 9:49 a.m.
I need 2019-20 questions
David
Dec. 31, 2020, 10 a.m.
Here jee main online question paper not available
princess SH
Dec. 22, 2020, 10:32 p.m.
Tq
Mergoju.Yashaswini
Nov. 12, 2020, 9:21 p.m.
Very useful
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Oct. 28, 2020, 11:23 a.m.
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RAKESH
Sept. 4, 2020, 11:38 a.m.
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Ayu
Aug. 13, 2020, 9:56 p.m.
Thanks for helping
Ashish
July 25, 2020, 7:48 a.m.
Mathematical term is not being clearly visible
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July 19, 2020, 7:32 p.m.
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May 21, 2020, 8:57 a.m.
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