# Frequentist vs Bayesian View

### Frequentist View

Defines probability of some event in terms of the relative frequency with which the event tends to occur

More widely used and usually involves simpler calculations

Frequentists think

**deductively**: "If the true population looks like this, then my sample might look like this."Terminology: p value, significant, null hypothesis, or confidence interval

Draw conclusions strictly from what’s in that set of given data

### Bayesian View

Defines probability in more subjective terms — as a measure of the strength of your belief regarding the true situation

Requires powerful computers and sophisticated software

Bayesians think

**inductively**: "My sample came out like this, so the true situation might be this."Terminology: prior probability, noninformative priors, and credible intervals

Broader view of "usable information" which typically starts with some prior probabilities (based on previous experiments) and then blend in the results of the latest experiment to revise those probabilities

**Note:**

**Note:**

A

**population**includes all of the elements from a set of data.A

**sample**consists one or more observations drawn from the population.

Link: - Dummies Series: TWO VIEWS OF PROBABILITY

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