Core Statistical Concepts and Methods
Classified in Mathematics
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Statistical Goals
- Describe: Explain what's happening in the data (e.g., mean, mode, average, minimum, variation).
- Explore: Understand how different variables relate to each other.
- Draw Inference: Test hypotheses or theories to make generalizations. Important: Correlation doesn't equal causation.
- Predict: Forecast future outcomes (e.g., weather networks).
- Draw Causal Inference: Determine cause-and-effect relationships, which requires experiments.
Variables in Statistics
Variable Types
- Categorical (e.g., color, name, religion) vs. Numerical (Discrete: whole numbers OR Continuous: decimals, e.g., movie ranking).
- Nominal: Categories with no inherent order.
- Ordinal: Categories with a meaningful order.
- Interval: Ordered, equal intervals, but zero is arbitrary