STA111: Complete Cheat Sheet

A concise summary of key concepts and formulas for Statistical Inference.

Measures of Location (Central Tendency)

  • Mean (Average) The sum of all data points divided by the number of data points.
    Formula: Mean = (Sum of all values) / (Number of values)
  • Median The middle value in a data set that has been arranged in order from smallest to largest. If there is an even number of values, the median is the average of the two middle values.
  • Mode The value that appears most frequently in a data set. A data set can have one mode (unimodal), two modes (bimodal), more than two modes (multimodal), or no mode.
  • Relationship between Mean, Median, and Mode Symmetrical Distribution: Mean = Median = Mode.
    Positively (Right) Skewed: Mean > Median > Mode.
    Negatively (Left) Skewed: Mode > Median > Mean.

Measures of Dispersion (Variability)

  • Range The difference between the highest and lowest values in a data set.
    Formula: Range = Maximum Value - Minimum Value
  • Variance (s²) The average of the squared differences from the Mean. It measures how far a set of numbers is spread out from their average value.
    Formula (Ungrouped): s² = [Sum of (each value - mean)²] / (n - 1)
  • Standard Deviation (s) The square root of the variance. It is the most common measure of spread and indicates the typical distance between a data point and the mean.
    Formula: s = sqrt(Variance)
  • Coefficient of Variation (CV) A relative measure of dispersion that expresses the standard deviation as a percentage of the mean. It is useful for comparing the variability of two or more data sets with different units or means.
    Formula: CV = (Standard Deviation / Mean) * 100%