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Undergraduate textbooks for statistics courses in the behavioral, biological, and social sciences must devote so much space to the nuts-and-bolts details of statistical methods that they have little left over for the larger conceptual framework of probability theory. This brief, lucid book fills the gap with its intelligible and in-depth explanation of probability, laid out step-by-step in a clear and congenial fashion. Even the student with little background in mathematics will find it readable and accessible.
Even the student with little background in mathematics will find it readable and accessible.
1. "Common Sense Reduced to Calculation"
2. The Logic and Arithmetic of Compound Probabilities
3. Probability Pathways and a First Glance at the Logic of Probability Assessment
4. Binomial Probabilities and the Concept of Sampling
5. The Normal Distribution—Remarkable Crossroad of Fact and Theory
6. Some Complex Probability Assessments Based on the Normal Distribution
7. A Brief Climb to One of the Next Higher Levels: Student's t-Distributions and the Logic of Estimation
Appendix A: Table of the Unit Normal Distribution
Appendix B: Table of Critical Values of Student's t-Distributions.