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Descriptive Statistics Overview

Aug 19, 2025

Overview

This lecture covers the key descriptive statistics used to summarize data sets: mean, variance, skewness, and kurtosis, collectively known as the four moments of the mean.

The Mean

  • The mean (arithmetic average) is the sum of all data values divided by the number of data points, denoted as x̄ (x-bar).
  • The formula for the mean is x̄ = (ΣX) / n, where ΣX is the sum of data values and n is the number of data points.

Variance and Deviation

  • Variance measures how much data values spread around the mean.
  • Deviation is the distance of each data point from the mean (x - x̄).
  • Variance formula: s² = Σ(x - x̄)² / (n - 1); uses n - 1 for degrees of freedom because the mean is already known.
  • Degrees of freedom reduce as more statistics (like the mean) are calculated from the data set.

Skewness

  • Skewness measures the asymmetry of the data distribution.
  • Calculated by cubing the deviation: Skewness = Σ(x - x̄)³ / [(n - 1)(s³)], where s is the standard deviation.
  • Skewness can be negative (left) or positive (right), indicating the direction of the tail.

Kurtosis

  • Kurtosis measures the "peakedness" or "flatness" of a distribution.
  • Calculated by raising deviations to the fourth power: Kurtosis = Σ(x - x̄)⁴ / [(n - 1)(n - 2)s⁴].
  • Higher kurtosis means a taller, narrower peak; lower kurtosis means a flatter, wider shape.

The Four Moments of the Mean

  • Mean (first moment): central location.
  • Variance (second moment): spread of data.
  • Skewness (third moment): asymmetry.
  • Kurtosis (fourth moment): shape of the distribution's peak.
  • Together, these describe the key features of a data set and allow further statistical analysis.

Key Terms & Definitions

  • Mean (x̄) — arithmetic average of all data values.
  • Variance (s²) — average squared deviation from the mean.
  • Deviation — difference between a data value and the mean.
  • Degrees of Freedom — number of independent values in a calculation after statistics like the mean are determined.
  • Skewness — measure of distribution's asymmetry.
  • Kurtosis — measure of distribution's peakedness.

Action Items / Next Steps

  • Review the formulas for mean, variance, skewness, and kurtosis.
  • Practice calculating each statistic using sample data.
  • Read the textbook section on descriptive statistics and degrees of freedom.