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Understanding Measures of Position in Statistics

Nov 7, 2024

Descriptive Statistics: Measures of Position

Overview

  • Measures of position indicate where a data point sits in a distribution or dataset.
  • Compare data points within the same or across different datasets.

Quartiles

  • Quartiles divide ordered data into four parts.
    • Q2 (Median): Splits data into top 50% and bottom 50%.
    • Q1 (First Quartile): 25% below, 75% above.
    • Q3 (Third Quartile): 75% below, 25% above.
  • Quartiles correspond to percentiles:
    • Q1 = 25th percentile
    • Q2 = 50th percentile (Median)
    • Q3 = 75th percentile

Finding Quartiles

  1. Sort data in ascending order.
  2. Find Q2 (Median):
    • Even number of data points: Average of two middle values.
    • Odd number of data points: Middle value.
  3. Exclude the median if it's a data point and find Q1 and Q3:
    • Q1: Median of lower half.
    • Q3: Median of upper half.

Software and Quartile Calculation

  • Different software (SPSS, Excel, Jamovi) may give different quartile values.
  • SPSS, Excel, and Jamovi may differ in methods, especially for Q1 and Q3.

Interquartile Range (IQR)

  • IQR = Q3 - Q1
  • Represents the middle 50% of data.
  • More robust to outliers compared to total range due to focus on central data.

Five Number Summary

  • Components: Minimum, Q1, Q2 (Median), Q3, Maximum.
  • Provides measures of central tendency and variability (IQR, Range).

Box Plots

  • Visual representation of five number summary.
  • Box: Q1 to Q3.
  • Line inside Box: Q2 (Median).
  • Whiskers: Extend to minimum and maximum, unless outliers are present.
  • Useful for showing distribution shape, symmetry, and skewness.

Interpreting Box Plots

  • Symmetrical Distribution: Whiskers are equal length, median centered.
  • Positive Skew: Long whisker towards higher values, median towards lower end.
  • Negative Skew: Long whisker towards lower values, median towards higher end.

Modified Box Plots

  • Show outliers explicitly using symbols (e.g., asterisks, circles).
  • Outliers:
    • Less than Q1 - 1.5 * IQR or more than Q3 + 1.5 * IQR.
    • Extreme Outliers: Less than Q1 - 3 * IQR or more than Q3 + 3 * IQR.
  • Whiskers adjusted to nearest non-outlier value.

Example

  • Example data ranging from 1 to 10 with analysis:
    • Q2 = 5.5,
    • Q1 = 3,
    • Q3 = 8.
  • Demonstrates calculation of quartiles and visualization in box plots.

Important Notes

  • Manual calculation methods may differ from software outputs.
  • Follow specific instructions for manual calculations when required.
  • Box plots preferred for skewed distributions due to robustness to outliers.