ContinuousProbability.md (544B)
1 # Continuous Probability 2 3 Stats Ch1 4 5 **Definition:** A continuous probability is one where there are an uncountable number of outcomes. 6 7 This is often defined by intervals either finite or infinite. 8 9 To graph continuous probabilities we often use density (kde) graphs to show probability of any given input lasting an amount of time. These are referred to as [ProbabilityDensityFunctions](ProbabilityDensityFunctions.md) of pdfs. While histograms fill a similar role, they are not considered a pdf because they use bins instead of continuity.