1. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 9 One- and Two-Sample Estimation Problems

2. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 2 Definition 9.1

3. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 3 Definition 9.2

4. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 4 Figure 9.1 Sampling distributions of different estimators of 

5. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.4 Single Sample: Estimating the Mean

6. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 6 Figure 9.2 P(-z  /2 < Z < z  /2 ) = 1- 

7. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 7 Figure 9.3 Interval estimates of  for different samples

8. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 8 Figure 9.4 Error in estimating  by x _

9. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 9 Theorem 9.1

10. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 10 Theorem 9.2

11. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 11 Figure 9.5 P(  t  /2 < T < t  /2 ) = 1 

12. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.5 Standard Error of a Point Estimate

13. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.6 Prediction Intervals

14. Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.7 Tolerance Limits