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Q.

What is the formula of median? What is mean median mode formula

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Detailed Solution

What is Median?

The median is the middle value in a dataset when arranged in ascending or descending order. It divides the dataset into two equal halves and is a measure of central tendency that is less affected by extreme values (outliers) compared to the mean.

Complete Median Formulas Reference Table

Formula TypeFormulaWhen to UseExplanationExample
Basic Median (Odd n)Median = Value at position (n+1)/2When total observations (n) is oddThe middle value after arranging data in orderFor 5, 7, 9, 12, 15: n=5, Position = (5+1)/2 = 3rd value = 9
Basic Median (Even n)Median = [Value at n/2 + Value at (n/2)+1]/2When total observations (n) is evenAverage of two middle valuesFor 4, 6, 8, 10: n=4, Median = (6+8)/2 = 7
Median for Grouped Data (Continuous)Median = L + [(n/2 - CF)/f] × hFor continuous frequency distributionL = Lower boundary of median class, CF = Cumulative frequency before median class, f = frequency of median class, h = class intervalSee detailed example below
Median for Discrete SeriesMedian = Value corresponding to (n+1)/2th observationFor discrete data with frequenciesFind cumulative frequency and locate middle positionIf n=20, find value at 10.5th position
Position FormulaPosition of Median = (n+1)/2To find position before calculating medianDetermines which observation is the medianFor n=9, position = (9+1)/2 = 5th observation
Median Class Formulan/2To identify median class in grouped dataCompare with cumulative frequencies to find median classIf n=40, find class containing 20th observation
Mean-Median-Mode RelationshipMode = 3 Median - 2 MeanFor moderately skewed distributionEmpirical relationship between measures of central tendencyIf Mean=10, Median=12, then Mode = 3(12) - 2(10) = 16
Alternative Mean-Mode FormulaMean = (Mode + 2 Median)/3Rearranged empirical formulaCalculate mean when mode and median are knownIf Mode=8, Median=10, then Mean = (8 + 2×10)/3 = 9.33
Median from Mode and MeanMedian = (2 Mean + Mode)/3Another rearrangement of empirical formulaCalculate median when mean and mode are knownIf Mean=15, Mode=18, then Median = (2×15 + 18)/3 = 16

Detailed Explanations by Category

1. Ungrouped Data (Raw Data)

For Odd Number of Observations:

  • Formula: Median = (n+1)/2th term
  • Step 1: Arrange data in ascending order
  • Step 2: Find position using (n+1)/2
  • Step 3: The value at that position is the median

For Even Number of Observations:

  • Formula: Median = [n/2th term + (n/2+1)th term]/2
  • Step 1: Arrange data in ascending order
  • Step 2: Find two middle positions
  • Step 3: Take average of values at these positions

2. Grouped Data (Frequency Distribution)

For Continuous Series:

Median = L + [(n/2 - CF)/f] × h
Where:
- L = Lower boundary of median class
- n = Total number of observations
- CF = Cumulative frequency of class before median class
- f = Frequency of median class
- h = Class interval (width)

Steps to Calculate:

  1. Find n/2
  2. Create cumulative frequency column
  3. Identify median class (where cumulative frequency ≥ n/2)
  4. Apply the formula

3. Relationship Formulas

The empirical relationship between mean, median, and mode:

  • In normal distribution: Mean = Median = Mode
  • In skewed distribution: Mode = 3 Median - 2 Mean

Practical Examples

Example 1: Ungrouped Data (Odd n)

Data: 12, 15, 18, 22, 25, 28, 30

  • n = 7 (odd)
  • Position = (7+1)/2 = 4th term
  • Median = 22

Example 2: Ungrouped Data (Even n)

Data: 10, 14, 16, 20, 24, 28

  • n = 6 (even)
  • Middle positions: 3rd and 4th terms
  • Values: 16 and 20
  • Median = (16+20)/2 = 18

Example 3: Grouped Data

ClassFrequencyCumulative Frequency
0-1055
10-20813
20-301225
30-401035
40-50540
  • n = 40, n/2 = 20
  • Median class: 20-30 (CF = 25 ≥ 20)
  • L = 20, CF = 13, f = 12, h = 10
  • Median = 20 + [(20-13)/12] × 10 = 20 + 5.83 = 25.83

Key Points to Remember

  1. Always arrange data in order before finding median for ungrouped data
  2. Median is not affected by extreme values, making it useful for skewed distributions
  3. For grouped data, ensure you identify the correct median class
  4. The empirical relationship between mean, median, and mode works best for moderately skewed, unimodal distributions
  5. Median divides the dataset into two equal halves by frequency, not by value range

Common Applications

  • Statistics Class 10-12: Basic median calculations and relationships
  • Competitive Exams: Quick calculation techniques
  • Research & Analysis: When dealing with skewed data or outliers
  • Business Analytics: Salary analysis, market research
  • Quality Control: Process monitoring and control charts

Formula Quick Reference Card

Data TypeQuick Formula
Raw Data (Odd n)(n+1)/2th value
Raw Data (Even n)Average of n/2th and (n/2+1)th values
Grouped DataL + [(n/2-CF)/f] × h
From Mean & Mode(2×Mean + Mode)/3
Position Only(n+1)/2
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