CBSE Class 10 Maths Statistics Previous Year Questions
Help your child master CBSE Class 10 Maths Statistics with this carefully curated collection of previous year questions drawn from real board papers spanning 2020–2024. Every question comes with a detailed step-by-step solution covering mean, median, mode, and the empirical relationship — topics that consistently appear across all question types in the board exam.
CBSE Class 10 Maths Statistics — Questions with Solutions
Explanation: The standard empirical formula relating the three measures of central tendency is: Mode $= 3$ Median $- 2$ Mean.

The modal class is:

Maximum frequency is 30, which belongs to class $30-40$. Therefore, the modal class is $\mathbf{30-40}$.


Maximum frequency is 18, corresponding to class $145-150$. So the modal class is $145-150$ and its upper limit is 150.

Who among the three friends have a blood pressure reading that falls in the modal class?
Explanation: Maximum frequency is 19, corresponding to class $145-155$. So the modal class is $145-155$. Nitesh’s blood pressure is 147 mmHg, which falls in this modal class. Therefore Nitesh is the answer.

If there are no students with the same weight as the median, how many students weigh between the range of $37-40$ kgs?

Let $x$ be students in $37-40$ kg. Since 18 students weigh above median: $$18 \times 2 > 31 + x \Rightarrow 36 – 31 > x \Rightarrow x = 5$$ Thus 5 students weigh between $37-40$ kgs.

The sum of lower limits of median class and modal class is:

Maximum frequency 20 belongs to class $15-20$ → modal class lower limit = 15.
$\Sigma f_i = 66$, $\dfrac{N}{2} = 33$ falls in class $10-15$ → median class lower limit = 10.
Sum $= 15 + 10 = \mathbf{25}$
12, 15, 22, 44, 44, 48, 50, 51
Explanation: Including an outlier changes the sum and count of observations, so the mean changes. The median and mode are positional/frequency-based and are less sensitive to extreme values in this dataset.
Using the empirical formula: $$\text{Median} = \frac{1}{3}\text{Mode} + \frac{2}{3}\text{Mean} = \frac{1}{3}(7) + \frac{2}{3}(7) = \frac{7}{3} + \frac{14}{3} = \frac{21}{3} = \mathbf{7}$$


Total = 30, so $\dfrac{N}{2} = 15$. Median class = $40-55$. $$\text{Class Mark} = \frac{40+55}{2} = \mathbf{47.5}$$
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The lower limit of the modal class is:
Explanation: Frequencies — 3000–4000: 5, 4000–5000: 10, 5000–6000: 9, 6000–7000: 8. Highest frequency (10) is in class $4000-5000$. Lower limit = 4000.
Using Mode $= 3$ Median $- 2$ Mean: $$15x = 3 \times \text{Median} – 2 \times 18x \Rightarrow 15x = 3\,\text{Median} – 36x \Rightarrow 3\,\text{Median} = 51x \Rightarrow \text{Median} = \mathbf{17x}$$
$$\text{Mode} = 3 \times \text{Median} – 2 \times \text{Mean} = 3 \times 23 – 2 \times 21 = 69 – 42 = \mathbf{27}$$
The median is the value that divides data arranged in order into two equal halves — with half the data points below it and half above it.
The sum of deviations of all observations from the mean, weighted by their frequencies, is always zero. This is a fundamental property of the arithmetic mean.
The median is the middlemost value when data is arranged in order, dividing the dataset into two equal halves.
Class mark of $35-55 = \dfrac{35+55}{2} = \dfrac{90}{2} = \mathbf{45}$

Find the upper limit of the median class in the given data.

Total frequency $N = 60$, so $\dfrac{N}{2} = 30$. The cumulative frequency just greater than or equal to 30 is in class $160-165$.
Upper limit of median class = 165


Using the Mode formula: $$\text{Mode} = l + \frac{f_1 – f_0}{2f_1 – f_0 – f_2} \times h = 30 + \frac{12-7}{24-7-5} \times 10 = 30 + \frac{5}{12} \times 10 = 30 + 4.17$$ Modal marks ≈ 34.17 marks
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$$55 = 45 + \frac{15-x}{30-x-10} \times 15 \Rightarrow 10(20-x) = 15(15-x) \Rightarrow 200-10x = 225-15x \Rightarrow 5x = 25$$ $$\boxed{x = 5}$$


From total frequency: $55 + a + b = 70 \Rightarrow a + b = 15$ …(i)
Using Median formula (median class $15-20$): $$16 = 15 + \frac{35-24-a}{15} \times 5 \Rightarrow 1 = \frac{11-a}{3} \Rightarrow a = 8$$ From (i): $8 + b = 15 \Rightarrow b = 7$
Therefore $a = 8$ and $b = 7$.


$\Sigma f_i = 40$, $\Sigma f_i d_i = -81$, Assumed mean $A = 149$
$$\text{Mean} = A + \frac{\Sigma f_i d_i}{\Sigma f_i} = 149 + \frac{-81}{40} = 149 – 2.025 = \mathbf{146.975 \text{ mm}}$$


$N = 50$, $\dfrac{N}{2} = 25$. Median class = $140-145$. Here $l=140$, $h=5$, $cf=15$, $f=12$.
$$\text{Median} = 140 + 5 \times \frac{25-15}{12} = 140 + \frac{50}{12} = 140 + 4.167 = \mathbf{144.167 \text{ cm}}$$
Consider 4 students with scores: 80, 90, 20, 50.
Mean $= \dfrac{80+90+20+50}{4} = \dfrac{240}{4} = 60$ ✓
Half the students (80 and 90) scored 80 or above, but one student scored 50 — which is above 40. This disproves Dipti’s statement.
Sum of 31 days $= 35.7 \times 31 = 1106.7°C$
Sum of 8 days $= 28.4 \times 8 = 227.2°C$
Sum of 12 days $= 36.4 \times 12 = 436.8°C$
Sum of 11 days $= 1106.7 – (227.2 + 436.8) = 442.7°C$
$$\text{Mean} = \frac{442.7}{11} = \mathbf{40.2°C}$$
Total balls after match $= 3996 + 48 = 4044$
Total wickets after match $= 148 + 2 = 150$
$$\text{New Strike Rate} = \frac{4044}{150} = \mathbf{26.96}$$


Let $x$ = number of days in $20-40$ mm range.
$$35 = \frac{850+30x}{21+x} \Rightarrow 735+35x = 850+30x \Rightarrow 5x = 115 \Rightarrow \boxed{x = 23}$$ Number of days = 23

Change the above data to a continuous grouped frequency distribution.



$N = 100$, so $\dfrac{N}{2} = 50$. Cumulative frequency just greater than 50 is 75, corresponding to class $155-160$.
Median class = $155-160$


$N = 60$, $\dfrac{N}{2} = 30$. Median class = $20-30$. $l=20$, $cf=13$, $f=20$, $h=10$.
$$\text{Median} = 20 + \frac{30-13}{20} \times 10 = 20 + \frac{17}{2} = 20 + 8.5 = \mathbf{28.5}$$

Midpoints × frequencies: 0–10: $5×12=60$; 10–20: $15×18=270$; 20–30: $25×27=675$; 30–40: $35×20=700$; 40–50: $45×17=765$; 50–60: $55×6=330$
$\Sigma f_i x_i = 2800$, $\Sigma f_i = 100$
$$\text{Mean} = \frac{2800}{100} = \mathbf{28}$$


Mean: $A=2750$, $\Sigma f_i d_i = -17500$, $\Sigma f_i = 200$ $$\text{Mean} = 2750 + \frac{-17500}{200} = 2750 – 87.5 = \mathbf{₹2662.50}$$ Median: $\dfrac{N}{2}=100$ lies in class $2500-3000$. $l=2500$, $f=28$, $cf=97$, $h=500$ $$\text{Median} = 2500 + \frac{100-97}{28} \times 500 = 2500 + 53.57 = \mathbf{₹2553.57}$$

(i) If demand doubles, estimate the average cars to be assembled per day to meet demand.
(ii) On at least how many days were fewer than average cars assembled? Show your work.

$\Sigma f_i = 90$, $\Sigma f_i x_i = 664$
(i) $\text{Mean} = \dfrac{664}{90} \approx 7.38$ cars/day. If demand doubles: $2 \times 7.38 \approx \mathbf{15 \text{ cars/day}}$
(ii) Mean lies in range $4-8$, so at least on 33 days fewer than average cars were assembled.


$N=80$, $\dfrac{N}{2}=40$. Median class = $50-60$.
Median: $l=50$, $cf=37$, $f=15$, $h=10$: $$\text{Median} = 50 + \frac{40-37}{15} \times 10 = 50 + 2 = \mathbf{52}$$ Mode: Modal class = $50-60$. $l=50$, $f_1=15$, $f_0=12$, $f_2=12$, $h=10$: $$\text{Mode} = 50 + \frac{15-12}{30-12-12} \times 10 = 50 + \frac{3}{6} \times 10 = 50 + 5 = \mathbf{55}$$


From total frequency: $96 + x + y = 150 \Rightarrow x + y = 54$ …(1)
From Mean $= 91$, setting up the second equation and solving simultaneously:
$x = 34$ and $y = 20$


From total: $p + q + 78 = 90 \Rightarrow p + q = 12$ …(i)
Using median formula (median class $50-60$): $$50 = 50 + \frac{45-(p+40)}{20} \times 10 \Rightarrow 0 = \frac{45-p-40}{2} \Rightarrow p = 5$$ From (i): $q = 7$
Mode: $l=40$, $f_1=25$, $f_0=15$, $f_2=20$, $h=10$: $$\text{Mode} = 40 + \frac{25-15}{50-15-20} \times 10 = 40 + \frac{100}{15} = 40 + 6.67 = \mathbf{46.67}$$ $p = 5$, $q = 7$, Mode $= 46.67$
Case Study — COVID-19 Pandemic
The COVID-19 pandemic is an ongoing pandemic of coronavirus disease caused by SARS-CoV-2. The following tables show the age distribution of cases admitted during a day in two different hospitals.
Table 1

Table 2

Refer to Table 1:
1. The average age for which maximum cases occurred is: (A) 32.24 (B) 34.36 (C) 36.82 (D) 42.24
2. The upper limit of modal class is: (A) 15 (B) 25 (C) 35 (D) 45
3. The mean of the given data is: (A) 26.2 (B) 32.4 (C) 33.5 (D) 35.4
4. The mode of the given data is: (A) 41.4 (B) 48.2 (C) 55.3 (D) 64.6
5. The median of the given data is: (A) 32.7 (B) 40.2 (C) 42.3 (D) 48.6
2. Option (D) — 45 Modal class is $35-45$, upper limit = 45.
3. Option (D) — 35.4

$\Sigma f_i=80$, $\Sigma f_i d_i=430$, $a=30$: $$\text{Mean} = 30 + \frac{430}{80} = 35.375 \approx \mathbf{35.4}$$ 4. Option (A) — 41.4 Modal class (Table 2) = $35-45$ (freq = 42). $$\text{Mode} = 35 + \frac{42-10}{84-10-24} \times 10 = 35 + 6.4 = \mathbf{41.4}$$ 5. Option (B) — 40.2

$\dfrac{N}{2}=56$. Median class $=35-45$. $l=35$, $cf=34$, $f=42$, $h=10$: $$\text{Median} = 35 + \frac{56-34}{42} \times 10 = 35 + 5.24 \approx \mathbf{40.2}$$


1. What is the upper limit of modal class? Also find the modal class frequency?
2. How many wrestlers weigh 120 kg or more? Also find the class mark for class $130-140$.
OR Find the mode of the given data.
3. Which method is more suitable to find the mean?
2. Wrestlers $\geq 120$ kg $= 21+8+3 = \mathbf{32}$. Class mark of $130-140 = \dfrac{130+140}{2} = \mathbf{135}$.
OR (Mode): $l=120$, $f_1=21$, $f_0=14$, $f_2=8$, $h=10$: $$\text{Mode} = 120 + \frac{21-14}{42-14-8} \times 10 = 120 + \frac{70}{20} = 120 + 3.5 = \mathbf{123.5 \text{ kg}}$$ 3. The Assumed Mean Method is more suitable for finding the mean of this data.

