These titles focus on the approaches that can be taken in the classroom to develop skills and a conceptual understanding of specific mathematical concepts.
These titles focus on the approaches that can be taken in the classroom to develop skills and a conceptual understanding of specific mathematical concepts.
Foreword Introduction Aims and purpose of the book Part I. A New Approach to Teaching Probability: 1. Introduction 2. Probability in the classroom 3. The probability curriculum Part II. Classroom Activities: 4. Fair game 5. Which team will win? 6. The dog ate my homework! 7. Choosing representatives Part III. Assessment and Sample Examination Questions: 8. The Probability scale 9. Event as 'favourable outcome' within an 'equally likely' sample space 10. Understanding fixed probability 11. Complement 12. Mutually exclusive events adding to 1 (more than two categories) 13. Multiple attributes - union and intersection 14. Expectation 15. Estimating probabilities from experiments 16. Identical independent events 17. Two non-identical independent events 18. Two dependent events (without replacement) - conditional probability 19. Conditional probability - inverse (Bayes' theorem) Part IV. Risk and Uncertainty in the Real World: 20. What's the best strategy 21. What does 'random' look like? 22. How should we change our beliefs? 23. How probable is probable? 24. Misconceptions 25. Heads or tails, boy or girl? 26. Your risk is increased! 27. It's a lottery 28. Switch or stick? 29. It's not fair! 30. Take a risk? 31. Happy birthday to you, and you, and... 32. How long do I have to wait? 33. Do you know what you don't know? Index.
Foreword Introduction Aims and purpose of the book Part I. A New Approach to Teaching Probability: 1. Introduction 2. Probability in the classroom 3. The probability curriculum Part II. Classroom Activities: 4. Fair game 5. Which team will win? 6. The dog ate my homework! 7. Choosing representatives Part III. Assessment and Sample Examination Questions: 8. The Probability scale 9. Event as 'favourable outcome' within an 'equally likely' sample space 10. Understanding fixed probability 11. Complement 12. Mutually exclusive events adding to 1 (more than two categories) 13. Multiple attributes - union and intersection 14. Expectation 15. Estimating probabilities from experiments 16. Identical independent events 17. Two non-identical independent events 18. Two dependent events (without replacement) - conditional probability 19. Conditional probability - inverse (Bayes' theorem) Part IV. Risk and Uncertainty in the Real World: 20. What's the best strategy 21. What does 'random' look like? 22. How should we change our beliefs? 23. How probable is probable? 24. Misconceptions 25. Heads or tails, boy or girl? 26. Your risk is increased! 27. It's a lottery 28. Switch or stick? 29. It's not fair! 30. Take a risk? 31. Happy birthday to you, and you, and... 32. How long do I have to wait? 33. Do you know what you don't know? Index.
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