1. ©2005 Brooks/Cole - Thomson Learning FIGURES FOR CHAPTER 2 STATISTICAL INFERENCE Click the mouse or use the arrow keys to move to the next page. Use the ESC key to exit this chapter.

2. ©2005 Brooks/Cole - Thomson Learning Section 2.1 Example 1

3. ©2005 Brooks/Cole - Thomson Learning Section 2.1 Example 2

4. ©2005 Brooks/Cole - Thomson Learning Figure 2.1 The normal distribution: Y  N(, 2 ).

5. ©2005 Brooks/Cole - Thomson Learning Section 2.2 Example 6

6. ©2005 Brooks/Cole - Thomson Learning Figure 2.2 An unbiased estimator has a sampling distribution that is centered over the population parameter. Y is unbiased because its sampling distribution is centered over .

7. ©2005 Brooks/Cole - Thomson Learning Figure 2.3 The estimator is asymptotically unbiased; its sampling distribution becomes centered over  2 as n → ∞.

8. ©2005 Brooks/Cole - Thomson Learning Figure 2.4 The variance of Y decreases as the sample size increases.

9. ©2005 Brooks/Cole - Thomson Learning Figure 2.5 The comparative efficiency of three estimators.

10. ©2005 Brooks/Cole - Thomson Learning Figure 2.6 Simulated sampling distributions (uniform population).

11. ©2005 Brooks/Cole - Thomson Learning Figure 2.7 Y i  i.i.d.(, 2 ).

12. ©2005 Brooks/Cole - Thomson Learning Figure 2.8 The least squares estimator is the value of  that minimizes the sum of squares function S.

13. ©2005 Brooks/Cole - Thomson Learning Figure 2.9 p-value for Example 10.

14. ©2005 Brooks/Cole - Thomson Learning Figure 2.10 Rejection regions.

15. ©2005 Brooks/Cole - Thomson Learning Figure 2.12 Y is lognormally distributed: ln Y  N(,  2 ).

16. ©2005 Brooks/Cole - Thomson Learning Figure 2.13 Simulated sampling distributions for the statistic t = √n(Y − )/s under nonnormality.

17. ©2005 Brooks/Cole - Thomson Learning Figure 2.14 A histogram of the monthly return on IBM stock, July 1963–June 1968.

18. ©2005 Brooks/Cole - Thomson Learning Figure 2.15 Deterministic and stochastic trends.

19. ©2005 Brooks/Cole - Thomson Learning Figure 2.16 The rate of return on IBM stock, July 1963–June 1968.