1. Copyright © 2013 Pearson Education. All rights reserved. Chapter 1 Introduction to Statistics and Probability

2. Copyright © 2013 Pearson Education. All rights reserved. Section 1.1 Overview: Statistical Inference, Samples, Populations, and the Role of Probability

3. 1-3 Copyright © 2013 Pearson Education. All rights reserved. Table 1.1 Data Set for Example 1.2

4. 1-4 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.1 A dot plot of stem weight data

5. 1-5 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.2 Fundamental relationship between probability and inferential statistics

6. Copyright © 2013 Pearson Education. All rights reserved. Section 1.2 Sampling Procedures; Collection of Data

7. 1-7 Copyright © 2013 Pearson Education. All rights reserved. Table 1.2 Data Example 1.3

8. 1-8 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.3 Corrosion results for Example 1.3

9. Copyright © 2013 Pearson Education. All rights reserved. Section 1.3 Discrete and Continuous Data

10. Copyright © 2013 Pearson Education. All rights reserved. Section 1.4 Probability: Sample Space and Events

11. 1-11 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.1

12. 1-12 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.4 Tree diagram for Example 1.5

13. 1-13 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.2

14. 1-14 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.3

15. 1-15 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.4

16. 1-16 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.5

17. 1-17 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.6

18. 1-18 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.5 Events represented by various regions

19. 1-19 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.6 Events of the sample space S

20. 1-20 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.7 Venn diagram for Exercises 1.15 and 1.16

21. Copyright © 2013 Pearson Education. All rights reserved. Section 1.5 Counting Sample Points

22. 1-22 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.7

23. 1-23 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.1

24. 1-24 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.2

25. 1-25 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.3

26. 1-26 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.4

27. 1-27 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.5

28. 1-28 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.6

29. Copyright © 2013 Pearson Education. All rights reserved. Section 1.6 Probability of an Event

30. 1-30 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.8

31. 1-31 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.9

32. Copyright © 2013 Pearson Education. All rights reserved. Section 1.7 Additive Rules

33. 1-33 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.7

34. 1-34 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.8 Additive rule of probability

35. 1-35 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.1

36. 1-36 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.2

37. 1-37 Copyright © 2013 Pearson Education. All rights reserved. Corollary 1.3

38. 1-38 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.8

39. 1-39 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.9

40. Copyright © 2013 Pearson Education. All rights reserved. Section 1.8 Conditional Probability, Independence, and the Product Rule

41. 1-41 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.10

42. 1-42 Copyright © 2013 Pearson Education. All rights reserved. Table 1.3 Categorization of the Adults in a Small Town

43. 1-43 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.11

44. 1-44 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.10

45. 1-45 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.11

46. 1-46 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.9 An electrical system for Example 1.33

47. 1-47 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.12

48. 1-48 Copyright © 2013 Pearson Education. All rights reserved. Definition 1.12

49. 1-49 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.10 Diagram for Exercise 1.69

50. 1-50 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.11 Diagram for Exercise 1.70

51. Copyright © 2013 Pearson Education. All rights reserved. Section 1.9 Bayes’ Rule

52. 1-52 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.12 Venn diagram for the events A, E and E

53. 1-53 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.13 Tree diagram for the data on page 34, using additional information on page 42

54. 1-54 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.13

55. 1-55 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.14 Partitioning the sample space S

56. 1-56 Copyright © 2013 Pearson Education. All rights reserved. Figure 1.15 Tree diagram for Example 1.34

57. 1-57 Copyright © 2013 Pearson Education. All rights reserved. Theorem 1.14