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Statistical Reasoning: Population Analysis and Inferential Statistics, Study notes of Descriptive statistics

The key components of statistical reasoning, focusing on population analysis and inferential statistics. Topics include constructing variables, forming hypotheses, statistical models and equations, parameters, data collection and screening, and inferential statistics for hypothesis testing and estimation. This information is essential for students in statistics, psychology, sociology, and related fields.

Typology: Study notes

Pre 2010

Uploaded on 08/30/2009

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Download Statistical Reasoning: Population Analysis and Inferential Statistics and more Study notes Descriptive statistics in PDF only on Docsity! Statistical Reasoning Population(s) Construct Variables (e.g., Intelligence, Level of Education, Reading Skills, Personality Traits) Theories, Conjectures, or Hypotheses about Population (e.g., about factor structure of intelligence, about educ. differences between certain groups, about the prediction of certain developments of individuals) Statistical Model Equations, Parameters (e.g., regression model, factor analytic model, discriminating model) Data / Sample Data Matrix (drawn!), Correlation Matrix Descriptive Statistics Description of the shape of distributions, of the association btw variables; Data Screening, Checking of Model Assumptions, etc. Inferential Statistics Testing of Hypotheses Estimation Description Exploration Verification Measurement, Data Collection Math. Specification
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