Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Similar presentations


Presentation on theme: "Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 9 One- and Two-Sample Estimation Problems."— Presentation transcript:

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. Section 9.1 Introduction

3 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.2 Statistical Inference

4 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.3 Classical Methods of Estimation

5 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 5 Definition 9.1

6 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 6 Definition 9.2

7 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 7 Figure 9.1 Sampling distributions of different estimators of 

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

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

10 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 10 Figure 9.3 Interval estimates of  for different samples

11 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 11 Figure 9.4 Error in estimating  by x _

12 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 12 Theorem 9.1

13 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 13 Theorem 9.2

14 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 14 Figure 9.5 P(  t  /2 < T < t  /2 ) = 1 

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

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

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

18 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.8 Two Samples: Estimating the Difference between Two Means

19 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.9 Paired Observations

20 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 20 Table 9.1 Data for Example 9.13

21 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.10 Single Sample: Estimating a Proportion

22 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 22 Figure 9.6 Error in estimating p by

23 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 23 Theorem 9.3

24 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 24 Theorem 9.4

25 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 25 Theorem 9.5

26 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.11 Two Samples: Estimating the Difference between Two Proportions

27 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.12 Single Sample: Estimating the Variance

28 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 28 Figure 9.7

29 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.13 Two Samples: Estimating the Ratio of Two Variances

30 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 30 Figure 9.8

31 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.14 Maximum Likelihood Estimation (Optional)

32 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. 9 - 32 Definition 9.3

33 Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Section 9.15 Potential Misconceptions and Hazards; Relationship to Material in Other Chapters


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

Similar presentations


Ads by Google