Quartiles for Grouped Data: Calculation
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Questions and Answers

What is the formula to calculate the lower quartile for a discrete frequency distribution?

  • Q1 = l + h * (N1 / N)
  • Q1 = (2N) / 4
  • Q1 = N / 2 (correct)
  • Q1 = (3N) / 4

How is the median (Q2) calculated for a continuous frequency distribution?

  • Q2 = (3N) / 4
  • Q2 = l + (N2 - N1) / (2N) (correct)
  • Q2 = (N + 1) / 2
  • Q2 = l + h * (N1 / N)

In the context of grouped data, what does the Lower Quartile (Q1) represent?

  • The value below which 25% of the data fall (correct)
  • The value above which 75% of the data fall
  • The middle value of the dataset
  • The most frequently occurring value

What role does the Class Width play in calculating quartiles for continuous frequency distributions?

<p>Assists in spreading out the range of values (A)</p> Signup and view all the answers

What happens to the lower limit of the third quartile class when calculating the Upper Quartile for continuous frequency distributions?

<p>It increases by h (C)</p> Signup and view all the answers

Which formula is used to calculate the median (Q2) for a discrete frequency distribution?

<p>Q2 = (N + 1) / 2 (C)</p> Signup and view all the answers

Study Notes

Quartiles for Grouped Data: Calculation

Quartiles help to divide a dataset into four equal parts, each containing an equal proportion of data. They are commonly used to describe the distribution of continuous data. In the context of grouped data, quartiles are calculated differently than they are for ungrouped data. To calculate quartiles for grouped data, follow these formulas:

  1. Lower Quartile:

    • For discrete frequency distribution: Q_1 = \dfrac{2(N)}{4} = \dfrac{N}{2}
    • For continuous frequency distribution: Q_1 = l + h \times \dfrac{N_1}{N}
    • where:
      • N: Total number of observations
      • l: Lower limit of the first quartile class
      • h: Class width
  2. Median (Second Quartile):

    • For discrete frequency distribution: Q_2 = \dfrac{N + 1}{2}
    • For continuous frequency distribution: Q_2 = l + \dfrac{N_2 - N_1}{2N}
    • where:
      • N: Total number of observations
      • l: Lower limit of the first quartile class
      • N_1: Cumulative frequency of the first quartile class
      • N_2: Cumulative frequency of the second quartile class
  3. Upper Quartile:

    • For discrete frequency distribution: Q_3 = \dfrac{3(N)}{4} = \dfrac{3N}{4}
    • For continuous frequency distribution: Q_3 = l + h \times \dfrac{N_3 - N_2}{N}
    • where:
      • N: Total number of observations
      • l: Lower limit of the third quartile class
      • h: Class width

These formulas are derived from the requirement that the quartiles divide the data into four equal parts. The lower quartile is the 25th percentile, the median is the 50th percentile, and the upper quartile is the 75th percentile. By calculating these quartiles, we can gain a better understanding of the distribution of data and how it is spread across different values.

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Description

Learn how to calculate quartiles for grouped data using specific formulas for lower quartile, median (second quartile), and upper quartile. Understand the difference in calculations for discrete and continuous frequency distributions, and how quartiles help divide data into four equal parts.

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