Skip to main content

πŸŽ“ New resources added daily! Join over 50,000 students using Padandas

Measures of Central Tendency | MGT 202 Business Statistics

Measures of Central Tendency | MGT 202 Business Statistics

TU BBS MGT 202 Unit 3: arithmetic, geometric and harmonic means, median, partition values, mode, formulas and exam numericals.

Oct 28, 2026
6,149

This unit covers the geometric mean, the harmonic mean (simple and weighted) and the mode, with worked numericals, followed by board exam questions on measures of central tendency listed by exam year.

Geometric Mean

Formulas

Individual data:

$$\text{G.M.} = \operatorname{Antilog}\left(\frac{\sum \log x}{n}\right)$$

Discrete and continuous data:

$$\text{G.M.} = \operatorname{Antilog}\left(\frac{\sum f\log x}{N}\right)$$

where \(N = \sum f\), \(f\) = frequency, and \(x\) is the mid-value of the class for continuous data.

Combined Geometric Mean

$$\log G = \frac{N_{1}\log G_{1} + N_{2}\log G_{2}}{N_{1} + N_{2}}$$

Worked Examples

Example 1: Discrete series

Calculate the G.M. from the following data.

Value (x)Frequency (f)log xf log x
10201.000020.0000
12281.079230.2176
15301.176135.2830
18271.255333.8931
20251.301032.5250
N = 130\(\sum f\log x = 151.9187\)
$$\begin{aligned} \text{G.M.} &= \operatorname{Antilog}\left(\frac{\sum f\log x}{N}\right) = \operatorname{Antilog}\left(\frac{151.9187}{130}\right) \\ &= \operatorname{Antilog}(1.1686) \\ &= 14.74 \end{aligned}$$

Example 2: Continuous series

Find the geometric mean of the following distribution.

Percent increaseNo. of companies (f)Mid-value (x)log xf log x
10–2020151.176123.5220
20–3022251.397930.7538
30–4018351.544127.7938
40–5010451.653216.5320
N = 70\(\sum f\log x = 98.6016\)
$$\begin{aligned} \text{G.M.} &= \operatorname{Antilog}\left(\frac{98.6016}{70}\right) = \operatorname{Antilog}(1.4086) \\ &= 25.62 \end{aligned}$$

Harmonic Mean

Formulas

Individual data:

$$\text{H.M.} = \frac{n}{\sum \frac{1}{x}}$$

where \(n\) = number of observations.

Discrete and continuous data:

$$\text{H.M.} = \frac{N}{\sum f\cdot\frac{1}{x}} = \frac{N}{\sum \frac{f}{x}}$$

where \(N = \sum f\), \(f\) = frequency, and \(x\) is the mid-value of the class for continuous data.

Weighted harmonic mean:

$$\text{H.M.}_{w} = \frac{\sum w}{\sum \frac{w}{x}}$$

Worked Examples

Example 1: Individual data

Find the H.M. of the rate of production (per hour): 20, 25, 28, 30, 35.

x1/x
200.0500
250.0400
280.0357
300.0333
350.0286
n = 5\(\sum \frac{1}{x} = 0.1876\)
$$\text{H.M.} = \frac{n}{\sum \frac{1}{x}} = \frac{5}{0.1876} = 26.65$$

Example 2: Continuous series (average speed)

Find the average speed of the cars.

Speed (km/hr)Mid-value (x)No. of cars (f)f/x
40–6050200.4000
60–8070300.4286
80–10090200.2222
100–120110100.0909
N = 80\(\sum \frac{f}{x} = 1.1417\)
$$\text{H.M.} = \frac{N}{\sum \frac{f}{x}} = \frac{80}{1.1417} = 70.07\ \text{km/hr}$$

Example 3: Weighted harmonic mean

A cyclist covers his first three miles at an average speed of 8 mph, another two miles at 3 mph and the last two miles at 2 mph. Find the average speed for the entire journey.

Speed (x)Distance (w)1/xw/x
830.1250.3750
320.3330.6667
220.5001.0000
\(\sum w = 7\)\(\sum \frac{w}{x} = 2.0417\)
$$\text{H.M.}_{w} = \frac{\sum w}{\sum \frac{w}{x}} = \frac{7}{2.0417} = 3.43\ \text{mph}$$

Mode

A variate value which is repeated the maximum number of times in the given data is called the mode (\(M_0\)). It is mainly used in the field of business and fashion.

  • A set of data having two mode values is called bimodal.
  • A set of data having more than two mode values is called multi-modal.

Formula for Continuous Series

$$\begin{aligned} M_{0} &= L + \frac{\Delta_{1}}{\Delta_{1}+\Delta_{2}} \times h \\ \Delta_{1} &= f_{1} - f_{0}, \qquad \Delta_{2} = f_{1} - f_{2} \end{aligned}$$

where \(L\) = lower limit of the modal class, \(f_1\) = frequency of the modal class, \(f_0\) = frequency of the class preceding it, \(f_2\) = frequency of the class succeeding it, and \(h\) = class width. The modal class is the class corresponding to the maximum frequency.

Relation between Mean, Median and Mode

$$M_{0} = 3M_{d} - 2\bar{x}$$

Worked Examples

Example 1: Mode after regrouping (unequal classes)

Calculate the most repeated value after regrouping the frequency distribution given below.

Value0–1010–2020–4040–5050–6060–8080–100
Frequency1015502010205

Since the given distribution has unequal class sizes, adjustment is required. Regrouping into classes of width 20:

ValueFrequency (f)
0–2010 + 15 = 25
20–4050
40–6020 + 10 = 30
60–8020
80–1005

Modal class = class corresponding to the maximum frequency (50) = 20–40, so \(L = 20\), \(f_1 = 50\), \(f_0 = 25\), \(f_2 = 30\), \(h = 20\).

$$\begin{aligned} \Delta_{1} &= 50 - 25 = 25, \qquad \Delta_{2} = 50 - 30 = 20 \\ M_{0} &= 20 + \frac{25}{25+20} \times 20 \\ &= 20 + 11.11 = 31.11 \end{aligned}$$

Example 2: Missing frequencies from a given mode

If the modal marks for a group of 94 students are 54, 10 students got marks between 0–20, 30 students between 40–60 and 14 students between 80–100, find the number of students getting marks between 20–40 and 60–80, if the maximum marks of the test were 100.

Let \(a\) and \(b\) be the missing frequencies of the 20–40 and 60–80 classes.

MarksNo. of students (f)
0–2010
20–40a (\(f_0\))
40–6030 (\(f_1\))
60–80b (\(f_2\))
80–10014
\(N = 54 + a + b\)
$$\begin{aligned} 94 &= 54 + a + b \;\Rightarrow\; a + b = 40 \;\Rightarrow\; b = 40 - a \quad \text{(i)} \\ M_{0} &= L + \frac{f_{1}-f_{0}}{(f_{1}-f_{0})+(f_{1}-f_{2})} \times h \quad (\text{modal class } 40\text{–}60) \\ 54 &= 40 + \frac{30-a}{60-(a+b)} \times 20 \\ 14 &= \frac{30-a}{60-40} \times 20 = 30 - a \\ a &= 16, \qquad b = 40 - 16 = 24 \end{aligned}$$

The missing frequencies are 16 and 24 respectively.

Important Questions

2078 Exam

  1. Find the combined mean of the following data: [2 marks]

    GroupABC
    Number200250300
    Mean251015

2079 Exam

  1. Before and after the implementation of an economic program to uplift the economic condition of a community, the following information was found. [15 marks]

    Monthly income (Rs. '00)Prior to the plan: no. of familiesAfter the plan: no. of families
    4 – 61065
    6 – 870–
    8 – 103537
    10 – 122015
    12 – 141015
    14 – 1635
    16 – 1825
    1. Find the highest income of the poorest 40% of the population before and after the plan.
    2. Find the lowest income of the richest 40% of the population before and after the plan.
    3. Obtain the limits of income of the middle 50% of families before and after the plan.
  2. The following table shows the monthly income of workers of two manufacturing companies A and B: [2 marks]

    Company ACompany B
    Mean monthly incomeRs. 2550Rs. 2800
    Number of workers100110
  3. An enquiry into the budget of middle class families in a certain locality of a city gave the following information: [5 marks]

    Expenses onFoodRentClothingFuelMisc.
    Weight30%15%20%10%25%
    Price in 2021 (Rs.)160601103080
    Price in 2022 (Rs.)1847013555100

    What is the cost of living index number of 2022 as compared to 2021? If an employee's monthly salary is Rs. 40,500 in the base period, what should be his/her salary in the current period?

2081 Exam

  1. The following table shows the average daily wages of workers in cities A and B. Find the combined average wage of the workers. [2 marks]

    CityAB
    Average daily wage (Rs.)10001200
    No. of workers250200
  2. The following table shows the marks distribution of students of a college: [10 marks]

    Marks0–1010–2020–3030–4040–5050–6060–70
    No. of students8152027221810

    Calculate the limits of marks obtained by the middle 80% of the students.

2082 Exam

  1. Find the lowest marks of the top 10 percent of the students from the following marks distribution: [10 marks]

    Marks0–1010–2020–3030–4040–5050–6060–7070–80
    Students4514172518107

2083 Exam

  1. The mean of 100 items was 50. Later on it was found that two items were misread as 92 and 8 instead of 192 and 88. Find the correct mean. [2 marks]

About Tribhuvan University

This content is part of Business Statistics offered by Tribhuvan University. This institution is committed to providing high-quality educational resources.

Frequently Asked Questions

This content is carefully structured to build understanding progressively, starting with fundamentals and advancing to more complex concepts.

Yes, once you have access, you can revisit this Measures of Central Tendency content as many times as you need.

Practice exercises and examples are integrated throughout the content to reinforce your understanding of Measures of Central Tendency.

Ready to Master Measures of Central Tendency | MGT 202 Business Statistics?

Continue your learning journey in Business Statistics and explore more comprehensive educational content.