Overview for Probability Density Function (PDF)

The probability density function (PDF) is an equation that represents the probability distribution of a continuous random variable. The PDF curve indicates regions of higher and lower probabilities for values of the random variable. For example, for a normal distribution, the highest PDF value is at the mean, and lower PDF values are in the tails of the distribution.

For a discrete distribution, such as a binomial distribution, you can use the PDF to determine the probability of exact data values (also called the Probability Mass Function or PMF).

Where to find this analysis

  • Mac: Statistics > Probability Distributions > Probability Density Function
  • PC: STATISTICS > CDF/PDF > Probability Density Function

When to use an alternate analysis

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