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this is nice lectures about statistics concepts
Typology: Summaries
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Statistics - methods for evaluating hypotheses in the light of empirical facts (Stanford Encyclopedia of Philosophy, 2014)
Statistics - methods for evaluating hypotheses in the light of empirical facts (Stanford Encyclopedia of Philosophy, 2014)
Data Science - a field focused on using statistical, scientific, and computational techniques to gain insights from data.
Computation (^) Statistics
Science
Statistics - methods for evaluating hypotheses in the light of empirical facts (Stanford Encyclopedia of Philosophy, 2014)
Data Science - a field focused on using statistical, scientific, and computational techniques to gain insights from data.
Computation (^) Statistics
Science
Statistical methods for gaining knowledge and insights from data.
-- designed for those already proficient in programming (i.e. computing)
Statistical methods for gaining knowledge and insights from data.
-- designed for those already proficient in programming (i.e. computing)
A pathway to knowledge about… … what was, (past) … what is, (present) … what is likely (future)
Statistical methods for gaining knowledge and insights from data.
-- designed for those already proficient in programming (i.e. computing)
A pathway to knowledge about… … what was, (past) … what is, (present) … what is likely (future)
Why?!? Jobs
Statistical methods for gaining knowledge and insights from data.
-- designed for those already proficient in programming (i.e. computing)
A pathway to knowledge about… … what was, (past) … what is, (present) … what is likely (future)
Why?!? Jobs Decisions
"The data say …"
"I did my research."
… and change no one's mind but at least understand it better yourself.
https://www3.cs.stonybrook.edu/~has/CSE357/index.html
Examples
(1) outcome of flipping a coin
(2) amount of snowfall
(3) mentioning "happy"
(4) mentioning "happy" a lot
The chance that something will happen.
Given infinite observations of an event, the proportion of observations where a given outcome happens.
Strength of belief that something is true.
“Mathematical language for quantifying uncertainty” - Wasserman
Ω : Sample Space, set of all outcomes of a random experiment
A : Event ( A ⊆ Ω ), collection of possible outcomes of an experiment
P( A ): Probability of event A, P is a function: events→ℝ