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Mean, Mode and Median of a Frequency Distribution Simplified Revision Notes

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Mean, Mode and Median of a Frequency Distribution

Overview

To summarise a frequency distribution, measures of central tendency—mean, median, and mode—are often calculated. These measures help to identify the typical or central value in the data.

Mean

The mean of a frequency distribution is calculated using the formula:

Mean=(f×x)f\text{Mean} = \frac{\sum (f \times x)}{\sum f}

Where:

  • ff: Frequency of each class.
  • xx: Midpoint of each class (for grouped data).
  • f\sum f: Total frequency.

Steps:

  1. Find the midpoint (xx) for each class:
x=Lower Bound+Upper Bound2x = \frac{\text{Lower Bound} + \text{Upper Bound}}{2}
  1. Multiply the midpoint (xx) by the frequency (ff).
  2. Sum all f×xf \times x values.
  3. Divide by the total frequency (f\sum f).

Median

The median is the value below which 5050% of the data lies. For a grouped frequency distribution, it is calculated using the formula:

Median=L+(N2CFfm)×c\text{Median} = L + \left(\frac{\frac{N}{2} - CF}{f_m}\right) \times c

Where:

  • LL: Lower boundary of the median class.
  • NN: Total frequency (f\sum f).
  • CFCF: Cumulative frequency before the median class.
  • fmf_m: Frequency of the median class.
  • cc: Class width.

Steps:

  1. Identify the median class:
  • The median class is the class where the cumulative frequency reaches or exceeds N2\frac{N}{2}
  1. Use the formula to calculate the median.

Mode

The mode is the value or class with the highest frequency. For grouped data, it is calculated using the formula:

Mode=L+(fmf1(fmf1)+(fmf2))×c\text{Mode} = L + \left(\frac{f_m - f_{1}}{(f_m - f_{1}) + (f_m - f_{2})}\right) \times c

Where:

  • LL: Lower boundary of the modal class.
  • fmf_m: Frequency of the modal class.
  • f1f_{1}: Frequency of the class before the modal class.
  • f2f_{2}: Frequency of the class after the modal class.
  • cc: Class width.

Steps:

  1. Identify the modal class (class with the highest frequency).
  2. Use the formula to calculate the mode.

Worked Examples

infoNote

Example 1: Mean of Grouped Data

Data: Find the mean for the frequency distribution below.

Class IntervalFrequency (ff)
10–204
20–306
30–4010
40–508
50–602

Solution:

Step 1: Find midpoints (xx):

15,25,35,45,5515, 25, 35, 45, 55


Step 2: Calculate f×xf \times x

4×15,6×25,10×35,8×45,2×554 \times 15, 6 \times 25, 10 \times 35, 8 \times 45, 2 \times 55

Total: f×x=60+150+350+360+110=:highlight[1030]f \times x = 60 + 150 + 350 + 360 + 110 = :highlight[1030]

Total: f=4+6+10+8+2=:highlight[30]f = 4 + 6 + 10 + 8 + 2 = :highlight[30]


Step 3: Calculate the mean:

Mean=103030=:success[34.33]\text{Mean} = \frac{1030}{30} = :success[34.33]

Answer: 34.3334.33


infoNote

Example 2: Median of Grouped Data

Data: Use the same table as above.


Solution:

Total frequency

N=30N=30, so N2=:highlight[15]\frac{N}{2} = :highlight[15]


Median class:

304030–40 (cumulative frequency reaches 2020 here).


Formula inputs:

L=30,CF=10,fm=10,c=10L=30, CF = 10, f_m = 10, c = 10

Median:

Median=30+(151010)10=30+5=:success[35]\text{Median} = 30 + \left(\frac{15 - 10}{10}\right) \cdot 10 = 30 + 5 = :success[35]

Answer: 3535


infoNote

Example 3: Mode of Grouped Data

Data: Use the same table as above.


Solution:

Modal class:

304030-40 (highest frequency, fm=10f_m = 10)


Formula inputs:

L=30,f1=6,f2=8,c=10L=30, f_{1} = 6, f_{2} = 8, c = 10

Mode:

Mode=30+(106(106)+(108))×10\text{Mode} = 30 + \left(\frac{10 - 6}{(10 - 6) + (10 - 8)}\right) \times 10 =30+406:success[36.67]= 30 + \frac{40}{6} \approx :success[36.67]

Answer: 36.6736.67


Summary

  • Mean: Average of the data, calculated as:
Mean=(f×x)f\text{Mean} = \frac{\sum (f \times x)}{\sum f}
  • Median: Middle value of data, using:
Median=L+(N2CFfm)×c\text{Median} = L + \left(\frac{\frac{N}{2} - CF}{f_m}\right) \times c
  • Mode: Most frequent value, using:
Mode=L+(fmf1(fmf1)+(fmf2))×c\text{Mode} = L + \left(\frac{f_m - f_{1}}{(f_m - f_{1}) + (f_m - f_{2})}\right) \times c
  • These measures provide a comprehensive understanding of a frequency distribution's central tendency.
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