MATH 10041 Chapter Notes - Chapter 6: Probability Distribution Function
8 Mar 2019
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6. 1: probability distributions are models of random experiments. Probability model: a description of how a statistician thinks data are produced. A distribution sample tells us the values in the sample and their frequency. A probability distribution tells us all possible values of the random experiment and their probability: example suppose the playlist on your mp3 player has 10 songs: 6 are rock, 2 are. Country, 1 is hip-hop, and 1 is opera. What is the probability that the first song chosen is rock: outcome, rock, not rock. Discrete outcomes: also called discrete variables are numerical values that you can list or count: example the number of phone numbers stored on the phones of your classmates, example a staircase, graph: Continuous outcomes: also called continuous variables cannot be listed or counted because they occur over a range: example the length of time your next phone call will last, example a ramp.
