## From Exploration to Inference

(Moore BPS5e p. 198)

#### Exploratory and Confirmatory statistics, differences and interactions

 Exploratory Data Analysis Confirmatory Analysis =Statistical Inference Purpose:  Unrestricted exploration of the data, searching for interesting patterns. Purpose:  To answer specific questions, posed before the data were produced. Conclusions apply:  Only to the individuals and circumstances for which we have data in hand. Conclusions apply to a larger group of individuals (population) or a broader class of circumstances. Conclusions:  Informal:  Based on what we see in the data. Conclusions:  Formal: Backed by a statement of our confidence in them (confidence level, p-value) Use Exploratory Analysis to generate hypotheses and formal questions. Design instrument(s) to measure, design experiment(s) to test hypotheses Use methods of data collection which guard against bias.    Analyze using Confirmatory Analysis--- ("Publish"; let others (or self) critique, analyze, replicate, and       extend, possibly using Exploratory Analysis.)

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