. Introduction to probability -- Ch. 5. Decision making under uncertainty -- Ch. 6. Decision trees and influence

. Basic probability -- 13. Decisions under uncertainty -- bayesian techniques -- 14. Neural networks -- 15

series -- Probability -- Probability distributions -- Statistical estimation -- Hypothesis testing

-- Correlation -- Prediction -- Some key ingredients for inferential statistics, the normal curve, probability

-- Antiderivatives -- Probability -- Functions of several variables -- Mathematical modeling using differential

cognition / David E. Over -- 6. Probability judgement from the inside and out / Steven A. Sloman and David E

1. Background -- 2. Notation -- 3. Probability Theory: A Refresher -- 4. Basic Concepts Underlying

Analysis to Support Decision-Making -- 6. Summary and Conclusions -- App. A. Basic Theory of Probability

census -- Sampling methods -- Probability sampling methods -- Simple random sampling -- Systematic random

. Elements of probability theory -- App. D. Hints and answers to exercises.

number -- Magnetic quantum number -- AV-MATtron probability density -- Radiative transitions -- Selection

variables and probability distributions -- Sampling and statistical inference -- Regression analysis