What exactly is a probability distribution? : r/AskStatistics
Sep 9, 2021 · A probability distribution is a function that relates the possible values of a variable to their probabilities. The distribution may be determined rationally (Google normal PDF) or empirically (in …
AP Statistics: A Study Guide for the Most Commonly Tested Topics
Apr 19, 2022 · Key skills needed to answer questions about sampling distributions (Unit 5) Use the empirical rule or standardization formula to calculate the probability that a particular value lies in a …
[Question] [Education]I can't understand probability distributions.
Apr 10, 2020 · I understand the concept of random variables and I can do basic exercises but I cannot understand the transition to the probability distributions. For example, I am unable to understand the …
measure for difference between two distribution - Reddit
Jan 21, 2023 · Hi, I'm looking for a metric that will describe the difference between 2 distributions. This is being used for classification/model selection, to pick a model that is most similar to a theoretical …
[D] Difference in "Probability Measure" and "Probability ... - Reddit
Feb 11, 2022 · Specifically, probability distributions are pushforward measures of a given random variable, so a given distribution such as the normal distribution is describing random variables that …
What is the difference between a distribution, probability distribution ...
Nov 14, 2022 · What is the difference between a distribution, probability distribution, frequency distribution, probability distribution function, probability mass function, and a probability function? I'm …
Where do all the probability density functions come from? : r ... - Reddit
Jan 27, 2021 · Most standard probability distributions were derived because they are thought to capture randomness in certain (often idealized) conditions. As a simple example, the probability distribution …
Combining probability distributions : r/slatestarcodex - Reddit
Nov 1, 2023 · Combining probability distributions I am working with the probability distributions generated by large language models. They assign a probability of being the next token to each of the …
Why do so many things follow Normal Distribution? : r/askscience
Jan 13, 2016 · Is this why we are able to approximate sampling distributions to fit normal curves? Yes, especially because most probability distributions can be modeled as arising from many independent …
Is there an intuitive explanation about how moments in probability ...
Dec 6, 2022 · Is there an intuitive explanation about how moments in probability distributions work? My current understanding: The way I personally view moments is in a similar way the Fourier transform …