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Law of Large Numbers

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The law of large number is one of several mathematical theorems expressing the idea that as the number of trials of a random process increases, the percentage difference between the expected and actual result values goes to zero.

Law of large numbers is a college-level concept that would be first encountered in a probability and statistics course. It is an Advanced Placement Statistics topic.

Prerequisites

Probability: Probability is the branch of mathematics that studies the possible outcomes of given events together with the outcomes' relative likelihoods and distributions.

Classroom Articles on Probability and Statistics (Up to College Level)

  • Arithmetic Mean
  • Mode
  • Binomial Distribution
  • Moment
  • Box-and-Whisker Plot
  • Normal Distribution
  • Central Limit Theorem
  • Outlier
  • Chi-Squared Test
  • Paired t-Test
  • Conditional Probability
  • Poisson Distribution
  • Confidence Interval
  • Problem
  • Correlation Coefficient
  • Sample
  • Covariance
  • Scatter Diagram
  • Erf
  • Standard Deviation
  • Histogram
  • Statistical Test
  • Hypothesis
  • Statistics
  • Independent Events
  • Uniform Distribution
  • Least Squares Fitting
  • Variance
  • Mean
  • z-Score
  • Median