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Quartiles

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Topics

  • Introduction
  • Calculation
  •  Application
  • Real-Life Application
  • Key Point Summary
Maharashtra State Board: Class 11

Introduction

  • Quartiles are values that divide a dataset (when arranged in order) into four equal parts.
  • There are three quartiles:
    First Quartile (Q1): 25% of the data lies below Q1.
    Second Quartile (Q2): 50% below this value; this is the Median.
    Third Quartile (Q3): 75% below this value; it marks the upper quarter. 
Maharashtra State Board: Class 11

Calculation

  1. For Individual or Ungrouped Data 
    \[\mathrm{Q}_i=\text{size of }i\left(\frac{n+1}{4}\right)^\text{th Observation.}\quad i=1,2,3\]

  1. For Grouped/Continuous Data 
    \[\mathbf{Q}_i=l+\left(\frac{\frac{in}{4}-cf}{f}\right)\times h\quad i=1,2,3\]
    Where 
    l = Lower limit of quartile class.
    f = Frequency of the quartile class
    cf = Cumulative frequency of the class preceding the quartile class.
    n = Total of frequency.
    h = Upper limit - lower limit of the quartile class. 

Maharashtra State Board: Class 11

Application

  1. Quartiles help analyse marks, heights, incomes, and survey results.
  2. Useful for understanding income groups, data spread, and outlier detection.
Maharashtra State Board: Class 11

Real-Life Application

Quartiles are like slicing a pizza into four equal pieces. Each 25% portion is separated by a quartile cut!

Maharashtra State Board: Class 11

Key Point Summary

  • Quartiles split data into four sections.
  • Q2 is always the median of the dataset.
  • Quartiles are practical tools for comparing groups and finding outliers.

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