Sampling distribution: probability distribution of all possible sample statistic values. Mean sampling distribution properties: arithmetic mean equals population mean µ, standard deviation equals σ/√n. Central Limit Theorem: non-normal populations approximate normal (n≥30).
Gestalt psychology (Kohler, 1900s Germany) emphasizing holistic human experience. Learning theory on information reception-organization-storage-retrieval. Cognitivism focuses on retention/recall through quality teaching. Transformative learning (Mezirow) explains meaning revision through frames of reference composition.
Sampling definition: selecting representative sample from population for analysis and inference. Needs: population movement, cost/time constraints, destructive testing. Bias types: undercoverage, non-response, wording. Sampling vs non-sampling errors. Population parameters (µ, σ²) vs sample statistics (X̄, s²).