JEE Mathematics Statistics MCQs Set 02

Practice MCQs for JEE Mathematics Statistics

Access targeted multiple-choice questions for Statistics designed to align with the latest JEE academic syllabus for JEE Mathematics. These objective practice sets help students evaluate their conceptual understanding and improve exam readiness.

Access Statistics Questions and Solutions

View or download the dedicated Statistics MCQ resource below. Practicing these 50 objective questions regularly builds familiarity with standard exam patterns and helps secure higher marks in final Mathematics evaluations.

Multiple Choice Questions

Question 1: If the mean deviation (about the mean) of the \(101\) numbers \(1,\ 1+d,\ 1+2d,\ \ldots,\ 1+100d\) is \(255\), then a value of \(d\) is:
(a) 10.1
(b) 20.2
(c) 10
(d) 5.05
Show Answer & Explanation

Answer: (a) 10.1

Explanation:
1. The mean of the numbers is \(1+50d\), so the deviations are \(\pm d,\pm 2d,\ldots,\pm 50d\).
2. Sum of absolute deviations \(=2d(1+2+\cdots+50)=2550d\).
3. Mean deviation \(=\dfrac{2550d}{101}=255\Rightarrow d=\dfrac{101}{10}=10.1\).

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Question 2: The mean of 5 observations is \(5\) and their variance is \(12.4\). If three of the observations are \(1,\ 2\) and \(6\), then the mean deviation from the mean of the data is:
(a) 2.4
(b) 2.8
(c) 2.5
(d) 8.38
Show Answer & Explanation

Answer: (b) 2.8

Explanation:
1. The sum of all five is \(25\), so the other two observations add up to \(25-9=16\).
2. \(\sum x^2=5(12.4+25)=187\), so the other two have squares adding to \(187-41=146\).
3. \(xy=\dfrac{16^2-146}{2}=55\), so the two observations are \(5\) and \(11\).
4. Data: \(1,2,5,6,11\); mean deviation \(=\dfrac{4+3+0+1+6}{5}=2.8\).

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Question 3: A factory works in two shifts, day and night, with 70 and 30 workers respectively. If the mean daily wage of the day-shift workers is Rs. 54 and the mean daily wage of all the workers is Rs. 60, then the mean daily wage of the night-shift workers (in Rs.) is:
(a) 66
(b) 69
(c) 74
(d) 75
Show Answer & Explanation

Answer: (c) 74

Explanation:
1. Total wages \(=100\times 60=6000\); day shift gets \(70\times 54=3780\).
2. Night shift total \(=6000-3780=2220\) for 30 workers.
3. Mean \(=\dfrac{2220}{30}=74\).

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Question 4: In a set of \(2n\) distinct observations, each observation below the median is increased by \(5\) and each of the remaining observations is decreased by \(3\). The mean of the new set of observations:
(a) increases by 1
(b) decreases by 1
(c) decreases by 2
(d) increases by 2
Show Answer & Explanation

Answer: (a) increases by 1

Explanation:
1. Exactly \(n\) observations lie below the median and \(n\) lie at or above it.
2. Total change \(=5n-3n=2n\).
3. Change in mean \(=\dfrac{2n}{2n}=1\), an increase of 1.

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Question 5: Let \(\bar X\) and M.D. be the mean and the mean deviation about \(\bar X\) of \(n\) observations \(x_i\), \(i=1,2,\ldots,n\). If each observation is increased by \(5\), then the new mean and the new mean deviation about the new mean are, respectively:
(a) \(\bar X,\ \text{M.D.}+5\)
(b) \(\bar X+5,\ \text{M.D.}+5\)
(c) \(\bar X,\ \text{M.D.}\)
(d) \(\bar X+5,\ \text{M.D.}\)
Show Answer & Explanation

Answer: (d) \(\bar X+5,\ \text{M.D.}\)

Explanation:
1. Adding a constant to every observation adds the same constant to the mean: new mean \(=\bar X+5\).
2. Each deviation \(x_i+5-(\bar X+5)=x_i-\bar X\) is unchanged, so the mean deviation stays M.D.

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Question 6: Let \(\bar x\), \(M\) and \(\sigma^2\) be respectively the mean, mode and variance of \(n\) observations \(x_1,x_2,\ldots,x_n\), and let \(d_i=-x_i-a\), \(i=1,2,\ldots,n\), where \(a\) is any number.
Statement I: The variance of \(d_1,d_2,\ldots,d_n\) is \(\sigma^2\).
Statement II: The mean and mode of \(d_1,d_2,\ldots,d_n\) are \(-\bar x-a\) and \(-M-a\) respectively.
(a) Statements I and II are both false
(b) Statements I and II are both true
(c) Statement I is true and Statement II is false
(d) Statement I is false and Statement II is true
Show Answer & Explanation

Answer: (b) Statements I and II are both true

Explanation:
1. Mean and mode are transformed by the same linear map \(x\mapsto -x-a\), so they become \(-\bar x-a\) and \(-M-a\): Statement II is true.
2. Variance is multiplied by \((-1)^2=1\) and is unaffected by the shift, so it remains \(\sigma^2\): Statement I is true.

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Question 7: The mean of a data set of \(20\) observations is \(40\). If one observation \(53\) was wrongly recorded as \(33\), then the correct mean is:
(a) 41
(b) 49
(c) 40.5
(d) 42.5
Show Answer & Explanation

Answer: (a) 41

Explanation:
1. Wrong total \(=20\times40=800\).
2. Correct total \(=800-33+53=820\).
3. Correct mean \(=\dfrac{820}{20}=41\).

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Question 8: The mean of \(5\) observations is \(7\). If four of the observations are \(6,\ 7,\ 8,\ 10\) and one is missing, then the variance of all five observations is:
(a) 4
(b) 6
(c) 8
(d) 2
Show Answer & Explanation

Answer: (a) 4

Explanation:
1. Total \(=35\), and the four known values add to \(31\), so the missing value is \(4\).
2. Deviations from the mean \(7\): \(-1,0,1,3,-3\); squares sum to \(1+0+1+9+9=20\).
3. Variance \(=\dfrac{20}{5}=4\).

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Question 9: If the median and the range of the four numbers \(\{x,\ y,\ 2x+y,\ x-y\}\), where \(0 \lt y \lt x \lt 2y\), are \(10\) and \(28\) respectively, then the mean of the numbers is:
(a) 18
(b) 10
(c) 5
(d) 14
Show Answer & Explanation

Answer: (d) 14

Explanation:
1. Since \(0 \lt y \lt x \lt 2y\): \(x-y \lt y \lt x \lt 2x+y\), so the sorted order is \(x-y,\ y,\ x,\ 2x+y\).
2. Median \(=\dfrac{x+y}{2}=10\Rightarrow x+y=20\). Range \(=(2x+y)-(x-y)=x+2y=28\).
3. Hence \(y=8,\ x=12\) and the numbers are \(4,8,12,32\).
4. Mean \(=\dfrac{4+8+12+32}{4}=14\).

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Question 10: The mean of a data set of \(16\) observations is \(16\). If one observation of value \(16\) is deleted and three new observations of values \(3,\ 4\) and \(5\) are added, then the mean of the resultant data is:
(a) 15.8
(b) 14.0
(c) 16.8
(d) 16.0
Show Answer & Explanation

Answer: (b) 14.0

Explanation:
1. Original total \(=16\times16=256\).
2. After deleting 16 and adding \(3+4+5=12\): total \(=256-16+12=252\) with \(16-1+3=18\) observations.
3. New mean \(=\dfrac{252}{18}=14\).

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Question 11: The variance of the first \(50\) even natural numbers is:
(a) 833
(b) \(\dfrac{437}{4}\)
(c) \(437\)
(d) \(\dfrac{833}{4}\)
Show Answer & Explanation

Answer: (a) 833

Explanation:
1. The numbers are \(2k\), \(k=1,\ldots,50\), so variance \(=4\times\) variance of \(1,2,\ldots,50\).
2. Variance of the first \(n\) natural numbers \(=\dfrac{n^2-1}{12}=\dfrac{2499}{12}\).
3. Required variance \(=4\cdot\dfrac{2499}{12}=833\).

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Question 12: A student obtains 75%, 80% and 85% in three subjects. If the marks of another subject are added, then his average cannot be less than K%. The value of K is:
(a) 60
(b) 65
(c) 70
(d) 80
Show Answer & Explanation

Answer: (a) 60

Explanation:
1. The sum of percentages in the three subjects is \(240\).
2. The fourth subject's percentage is at least \(0\), so the average of four is at least \(\dfrac{240}{4}=60\).
3. Hence \(K=60\).

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Question 13: The mean of \(100\) items is \(49\). It was discovered that three items which should have been \(60,\ 70,\ 80\) were wrongly read as \(40,\ 20,\ 50\) respectively. The correct mean is:
(a) 48
(b) 50
(c) 51
(d) 52
Show Answer & Explanation

Answer: (b) 50

Explanation:
1. Wrong total \(=4900\).
2. Correct items add to \(210\); the wrong readings add to \(110\), so the total increases by \(100\).
3. Correct mean \(=\dfrac{5000}{100}=50\).

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Question 14: The mean weight per student in a group of seven students is \(55\) kg. If the weights of six of the students are \(52,\ 58,\ 55,\ 53,\ 56\) and \(54\) kg, then the weight of the seventh student (in kg) is:
(a) 55
(b) 57
(c) 59
(d) 61
Show Answer & Explanation

Answer: (b) 57

Explanation:
1. Total weight \(=7\times55=385\).
2. The six known weights add to \(328\).
3. Seventh weight \(=385-328=57\) kg.

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Question 15: Let \(x_1,x_2,\ldots,x_n\) be \(n\) observations such that \(\sum x_i^2=400\) and \(\sum x_i=80\). Then the least possible value of \(n\) is:
(a) 8
(b) 16
(c) 20
(d) 25
Show Answer & Explanation

Answer: (b) 16

Explanation:
1. By the Cauchy-Schwarz inequality, \((\sum x_i)^2\le n\sum x_i^2\).
2. \(6400\le 400n\Rightarrow n\ge16\).
3. Equality holds when all \(x_i=5\) (\(16\) observations of \(5\)), so the least \(n\) is \(16\).

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Question 16: In a moderately asymmetrical distribution, the mode and the mean are \(6\lambda\) and \(9\lambda\) respectively. If the median is \(K\lambda\), then \(K\) is:
(a) 6
(b) 7
(c) 8
(d) 9
Show Answer & Explanation

Answer: (c) 8

Explanation:
1. For a moderately asymmetrical distribution: Mode \(=3\,\text{Median}-2\,\text{Mean}\).
2. \(6\lambda=3K\lambda-18\lambda\Rightarrow 3K=24\Rightarrow K=8\).

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Download Chapter MCQs: JEE Mathematics Statistics

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