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]].'' |
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 |
#[[Statistical assumptions]] |
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#[[Likelihood |
#[[Likelihood principle]] |
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#[[Estimating |
#[[Estimating parameters]] |
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#[[Testing |
#[[Testing statistical hypotheses]] |
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#[[Revising |
#[[Revising opinions in statistics]] |
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:[[planning statistical research]] -- [[summarizing statistical data]] |
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:[[Planning Research]] -- [[Summarizing Statistical Data]] -- [[Statistics/Inference]] |
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'''Statistical |
'''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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The most common forms of statistical inference are: |
The most common forms of statistical inference are: |
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#point estimation |
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#[[Point Estimation]] |
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#interval estimation] |
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#[[Interval Estimation]] |
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#hypothesis testing |
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#[[Hypothesis Testing]] |
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#decision making |
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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 [[ |
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 07:11, 30 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.
back to Statistics
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.
The most common forms of statistical inference are:
- point estimation
- interval estimation]
- hypothesis testing
- decision making
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.
back to Statistics