The topics below are usually included in the area of
interpreting statistical data. A more formal name for this topic is
statistical inference.
- Statistical Assumptions
- Likelihood Principle
- Estimating Parameters
- Testing Hypotheses
- Revising Opinions
- Planning Research -- Summarizing Statistical Data -- Statistics/Inference
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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.
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.
- Frequency Probability
- Personal Probability
- Eclectic Probability
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