Statistical inference: Difference between revisions
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The topics below are usually included in the area of '''interpreting statistical data'''. A more formal name for this topic is ''[[statistical inference]].'' |
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#[[Statistical Assumptions]] |
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#[[Likelihood Principle]] |
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#[[Estimating Parameters]] |
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'''Statistical Inference''' is a collection of procedures designed to allow us to make reliable conclusions from data collected from [[Statistical Samples]] to real or hypothetical [[Statistical Populations]]. It is the formal name of what we call [[Interpreting Statistical Data]]. |
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#[[Testing Hypotheses]] |
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#[[Revising Opinions]] |
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The most common forms of statistical inference are: |
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#[[Point Estimation]] |
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:[[Planning Research]] -- [[Summarizing Statistical Data]] -- [[Statistics/Inference]] |
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#[[Interval Estimation]] |
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#[[Hypothesis Testing]] |
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#[[Decision Making]] |
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There are several distinct schools of thought about the justification of statistical inference. All are based on some idea of what real world phenomena can be reasonably modeled as [[Probability]]. |
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#[[Frequency Probability]] |
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#[[Personal Probability]] |
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#[[Eclectic Probability]] |
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Revision as of 10:25, 29 June 2001
The topics below are usually included in the area of interpreting statistical data. A more formal name for this topic is statistical inference.
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