SciTech-Mathmatics-Probability+Statistics: Differences:
Population VS Sampling(Distribution of Parameters)
Likelyhood(Assumption) VS Probability(Model of Solid Parameters)
Likelihood vs. Probability: What's the Difference?
BY ZACH BOBBITTPOSTED ON AUGUST 18, 2021
Two terms that students often confuse in statistics are likelihood and probability.
Here's the difference in a nutshell:
Probability refers to the chance that a particular outcome occurs based on the values of parameters in a model.
Likelihood refers to how well a sample provides support for particular values of a parameter in a model.
- When calculating the probability of some outcome, we assume the parameters in a model** are trustworthy, and the sample data can well represent corresponding population.
- However, when we calculate likelihood we're trying to determine if we can trust the parameters in a model based on the sample data that we've observed, furthermore if we can trust the sample data.
The following examples illustrate the difference between probability and likelihood in various scenarios.
标签：Statistics,Parameters,Probability,sample,VS,model From： https://www.cnblogs.com/abaelhe/p/18404256