NCERT Solutions for Class 11 Statistics Chapter 5: Measures of Central Tendency
Struggling with Mean, Median, and Mode? This ultimate guide simplifies CBSE Class 11 Statistics Chapter 5, Measures of Central Tendency. Master these core concepts for your 2026-27 board exams and competitive tests. Let's make statistics easy and scoring, helping you ace your exams with confidence!
Chapter at a Glance
Chapter 5: Measures of Central Tendency – Quick Reference
| Chapter Name | Measures of Central Tendency |
| Subject | Statistics (Economics) |
| Board / Class | CBSE Class 11 |
| Target Year | 2026-27 |
| Important Topics | Arithmetic Mean, Median, Mode, Quartiles, Weighted Mean. |
| Difficulty Level | Easy to Moderate |
| Exam Weightage | 6–8 Marks (Can be part of a higher-mark question) |
Key Measures – Formulas to Memorise
Learning Objectives
Understand the meaning and purpose of a measure of central tendency.
Calculate Arithmetic Mean for individual, discrete, and continuous series.
Calculate Median and other positional values like Quartiles, Deciles, and Percentiles.
Determine the Mode for various types of statistical series.
Compare the different measures and understand their appropriate usage.
Calculate Weighted Arithmetic Mean.
Key Concepts, Definitions, & Formulas
Mastering these formulas is the first step to scoring full marks!
2. Median: \( M = l_1 + \left( \frac{\frac{N}{2} - cf}{f} \right) \times h \)
3. Mode: \( Z = l_1 + \left( \frac{f_1 - f_0}{2f_1 - f_0 - f_2} \right) \times h \)
Full NCERT Solutions – Solved Exercise Questions
This is an individual series. The formula for the Arithmetic Mean (\( \bar{X} \)) is:
$$ \bar{X} = \frac{\sum X}{N} $$- Step 1: Sum all the observations (ΣX).
ΣX = 45 + 32 + 37 + 46 + 39 + 36 + 41 + 48 + 36 + 40 = 400 - Step 2: Count the number of observations (N).
N = 10 - Step 3: Apply the formula.
\( \bar{X} = \frac{400}{10} = 40 \)
Therefore, the arithmetic mean of the marks is 40.
This is an individual series.
- Step 1: Arrange the data in ascending order.
12, 15, 17, 19, 21, 23, 25 - Step 2: Find the number of observations (N).
N = 7 (an odd number) - Step 3: Use the formula for the Median (M).
$$ M = \text{Size of } \left( \frac{N+1}{2} \right)^{th} \text{ item} $$ $$ M = \text{Size of } \left( \frac{7+1}{2} \right)^{th} \text{ item} = 4^{th} \text{ item} $$ - Step 4: Identify the 4th item in the arranged data.
The 4th item is 19.
Therefore, the Median of the data is 19.
This is a discrete series. The formula for Mean is: $$ \bar{X} = \frac{\sum fX}{\sum f} $$
- Step 1: Create a calculation table.
Marks (X) No. of Students (f) fX 10 8 80 20 12 240 30 20 600 40 6 240 50 4 200 Total Σf = 50 ΣfX = 1360 - Step 2: Find the sum of frequencies (Σf) and the sum of fX (ΣfX).
From the table, Σf = 50 and ΣfX = 1360. - Step 3: Apply the formula.
$$ \bar{X} = \frac{1360}{50} = 27.2 $$
Therefore, the mean marks are 27.2.
- Step 1: Find the Median Class.
First, create a cumulative frequency (cf) column.
Class Interval Frequency (f) Cumulative Frequency (cf) 0-10 5 5 10-20 8 13 20-30 15 28 30-40 16 44 40-50 6 50 Total N = 50 Median Item = Size of \( (\frac{N}{2})^{th} \) item = \( \frac{50}{2} = 25^{th} \) item.
The 25th item lies in the cumulative frequency 28, so the Median Class is 20-30. - Step 2: Identify values for the Median formula.
$$ M = l_1 + \left( \frac{\frac{N}{2} - cf}{f} \right) \times h $$- \( l_1 \) (lower limit of median class) = 20
- \( \frac{N}{2} \) = 25
- cf (cumulative frequency of the preceding class) = 13
- f (frequency of median class) = 15
- h (class interval) = 10
- Step 3: Substitute the values.
$$ M = 20 + \left( \frac{25 - 13}{15} \right) \times 10 $$ $$ M = 20 + \left( \frac{12}{15} \right) \times 10 $$ $$ M = 20 + 0.8 \times 10 = 20 + 8 = 28 $$
Therefore, the Median is 28.
- Step 1: Identify the Modal Class.
The modal class is the class with the highest frequency. Here, the highest frequency is 7, which corresponds to the class interval 20-30. - Step 2: Identify values for the Mode formula.
$$ Z = l_1 + \left( \frac{f_1 - f_0}{2f_1 - f_0 - f_2} \right) \times h $$- \( l_1 \) (lower limit of modal class) = 20
- \( f_1 \) (frequency of modal class) = 7
- \( f_0 \) (frequency of pre-modal class) = 5
- \( f_2 \) (frequency of post-modal class) = 5
- h (class interval) = 10
- Step 3: Substitute the values.
$$ Z = 20 + \left( \frac{7 - 5}{2 \times 7 - 5 - 5} \right) \times 10 $$ $$ Z = 20 + \left( \frac{2}{14 - 10} \right) \times 10 $$ $$ Z = 20 + \left( \frac{2}{4} \right) \times 10 = 20 + 5 = 25 $$
Therefore, the Mode is 25.
Extra MCQs – Practice & Self-Test
Extra Board Exam Questions (2026-27)
We know Mean = (Sum of observations) / Number of observations.
1. **Set up the equation:**
\( 10 = \frac{5 + 8 + 10 + 12 + x + 15}{6} \)
2. **Simplify the sum:**
\( 10 = \frac{50 + x}{6} \)
3. **Solve for x:**
\( 10 \times 6 = 50 + x \)
\( 60 = 50 + x \)
\( x = 60 - 50 = 10 \)
The value of x is 10.
- Merits:
- It is easy to calculate and understand.
- It is based on all observations in the dataset.
- Demerits:
- It is highly affected by extreme values (outliers).
- It cannot be calculated for qualitative data or open-ended classes.
The Median is more suitable than the Mean when:
- The data has **extreme values (outliers)**. The median is not affected by them, while the mean is heavily skewed. For example, in salary data with a few billionaire CEOs.
- The distribution has **open-ended classes**, as the exact values of the extremes are not needed to find the middle position.
- The data is **qualitative and can be ranked** (ordinal data), such as "good", "better", "best".
- Step 1: Arrange data in ascending order. (N=10)
11, 12, 14, 18, 22, 26, 30, 32, 35, 41 - Step 2: Find the position of Q₁.
$$ Q_1 = \text{Size of } \left( \frac{N+1}{4} \right)^{th} \text{ item} $$ $$ Q_1 = \text{Size of } \left( \frac{10+1}{4} \right)^{th} \text{ item} = 2.75^{th} \text{ item} $$ - Step 3: Calculate the value.
This means Q₁ is the 2nd item plus 0.75 of the difference between the 3rd and 2nd items.
Q₁ = 2nd item + 0.75 * (3rd item - 2nd item)
Q₁ = 12 + 0.75 * (14 - 12) = 12 + 0.75 * 2 = 12 + 1.5 = 13.5
The first quartile (Q₁) is 13.5.
In a continuous frequency distribution, the **'modal class'** is the class interval that has the highest frequency.
It is determined by simply observing the frequency column and identifying the class corresponding to the largest frequency value.
1. Mean Calculation: Approx. 29.5 (Using step-deviation is recommended).
2. Median Calculation:
N = 50, N/2 = 25. Median class is 25-35 (cf goes from 20 to 45).
l₁=25, cf=20, f=25, h=10.
M = 25 + ((25-20)/25) * 10 = 25 + (5/25)*10 = 25 + 2 = 29.
3. Mode Calculation:
Modal class is 25-35 (highest frequency 25).
l₁=25, f₁=25, f₀=15, f₂=10, h=10.
Z = 25 + ((25-15)/(2*25-15-10)) * 10 = 25 + (10/25)*10 = 25 + 4 = 29.
(Note: The provided answer in markdown had a slight error in mode calculation. I've corrected it. Let's re-calculate with the new value.)
Z = 25 + (10 / (50 - 25)) * 10 = 25 + (10/25)*10 = 25+4 = 29.
(Ah, the markdown's answer for Mode was 28.33. Let's check my calculation. f1=25, f0=15, f2=10. 2f1-f0-f2 = 50-15-10 = 25. (f1-f0) = 10. Z=25 + (10/25)*10 = 25+4 = 29. The markdown's answer was incorrect. My calculated answer is 29). Let's go with 29.
Final Results: Mean ≈ 29.5, Median = 29, Mode = 29.
Comment: Since the Mean, Median, and Mode are very close to each other (Mean ≈ Median ≈ Mode), the distribution is nearly symmetrical and not significantly skewed.
a) Appropriate Measure and Reasoning:
The **Median** would be more appropriate. The presence of very high salaries for top executives act as extreme values (outliers). These outliers would disproportionately inflate the Arithmetic Mean, giving a misleadingly high average salary. The Median, being a positional average, is not affected by these extreme values and will provide a better representation of the 'typical' employee salary.
b) Median Calculation:
- Step 1: Create a cumulative frequency table.
Salary (₹1000s) Employees (f) cf 20-30 20 20 30-40 25 45 40-50 30 75 50-60 15 90 60-70 10 100 Total N=100 - Step 2: Find the median class.
N=100, N/2 = 50. The 50th item falls in the class 40-50. - Step 3: Apply the formula.
l₁=40, cf=45, f=30, h=10.
Median = 40 + ((50-45)/30) * 10 = 40 + (5/30)*10 = 40 + 1.67 = 41.67.
The median salary is ₹41.67 thousand or ₹41,670.
The formula for Weighted Mean is: $$ \bar{X}_w = \frac{\sum WX}{\sum W} $$
- Step 1: Create a calculation table.
Item Price (X) Weight (W) WX Rice 100 30 3000 Wheat 80 50 4000 Sugar 120 15 1800 Oil 200 5 1000 Total ΣW = 100 ΣWX = 9800 - Step 2: Find ΣW and ΣWX.
ΣW = 100, ΣWX = 9800. - Step 3: Apply the formula.
Weighted Mean = 9800 / 100 = 98.
The weighted mean price is ₹98.
Common Mistakes to Avoid
Exam Preparation Tips for 2026-27
Frequently Asked Questions (FAQs)
Master Measures of Central Tendency 📈
This chapter is the backbone of statistical analysis. Remember, the key to success is not just understanding but consistent practice. Solve all the NCERT questions, practice the important questions provided, and you'll find this chapter to be one of the most scoring in your exam.
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