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Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population.
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inference statistical data model population bayesian probability distribution models using sampling assumptions frequentist theory based example statistics one randomization analysis
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Statistical inference | is a | process of using data analysis to infer properties of an underlying probability distribution | 0.90 | text |
| Statistical inference | is a | statistical proposition | 0.90 | text |
| numerical optimization algorithms | instance of | This can be achieved using optimization techniques | 0.80 | text |
| bootstrapping.Model checking | instance of | or conducting hypothesis tests based on asymptotic theory or simulation techniques | 0.80 | text |
| Statistical inference | related to External links | MIT OpenCourseWare | 0.60 | section |
| Statistical inference | related to External links | Inference | 0.60 | section |
| Statistical inference | related to External links | National Programme | 0.60 | section |
| Statistical inference | related to External links | Technology Enhanced LearningAn | 0.60 | section |
| Statistical inference | related to External links | Bayesian | 0.60 | section |
| Statistical inference | related to External links | MCMC | 0.60 | section |
| Statistical inference | related to External links | Coggle | 0.60 | section |
| Statistical inference | related to Further reading | Casella | 0.60 | section |
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