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Applied Statistics for Engineers and - Hardcover, by Devore Jay L.; - Very Good

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Last updated on Jun 05, 2024 01:35:31 PDTView all revisionsView all revisions

Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Book Title
Applied Statistics for Engineers and Scientists
ISBN
9781133111368
Subject Area
Technology & Engineering, Business & Economics, Mathematics
Publication Name
Applied Statistics for Engineers and Scientists
Item Length
9.4 in
Publisher
Brooks/Cole
Subject
Engineering (General), Probability & Statistics / General, Statistics
Publication Year
2013
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.1 in
Author
Jimmy A. Doi, Jay L. Devore, Nicholas R. Farnum
Features
Revised
Item Width
7.7 in
Item Weight
39.5 Oz
Number of Pages
656 Pages

About this product

Product Information

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS emphasizes application of methods to real problems, with real examples throughout. Available with InfoTrac Student Collections http: //gocengage.com/infotrac.

Product Identifiers

Publisher
Brooks/Cole
ISBN-10
113311136x
ISBN-13
9781133111368
eBay Product ID (ePID)
17038461254

Product Key Features

Author
Jimmy A. Doi, Jay L. Devore, Nicholas R. Farnum
Publication Name
Applied Statistics for Engineers and Scientists
Format
Hardcover
Language
English
Features
Revised
Subject
Engineering (General), Probability & Statistics / General, Statistics
Publication Year
2013
Type
Textbook
Subject Area
Technology & Engineering, Business & Economics, Mathematics
Number of Pages
656 Pages

Dimensions

Item Length
9.4 in
Item Height
1.1 in
Item Width
7.7 in
Item Weight
39.5 Oz

Additional Product Features

Edition Number
3
LCCN
2013-944181
Intended Audience
College Audience
Lc Classification Number
Ta340
Edition Description
Revised Edition
Reviews
1. DATA AND DISTRIBUTIONS.Populations, Samples and Processes. Visual Displays for Univariate Data. Describing Distributions. The Normal Distribution. Other Continuous Distributions. Several Useful Discrete Distributions. Supplementary Exercises. Bibliography.2. NUMERICAL SUMMARY MEASURES.Measures of Center. Measures of Variability. More Detailed Summary Quantities. Quantile Plots. Supplementary Exercises. Bibliography.3. BIVARIATE AND MULTIVARIATE DATA AND DISTRIBUTIONS.Scatter Plots. Correlation. Fitting a Line to Bivariate Data. Nonlinear Relationships. Using More Than One Predictor. Joint Distributions. Supplementary Exercises. Bibliography.4. OBTAINING DATA.Operational Definitions. Data from Sampling. Data from Experiments. Measurement Systems. Supplementary Exercises. Bibliography.5. PROBABILITY AND SAMPLING DISTRIBUTIONS.Chance Experiments. Probability Concepts. Conditional Probability and Independence. Random Variables. Sampling Distributions. Describing Sampling Distributions. Supplementary Exercises. Bibliography.6. QUALITY CONTROL.Terminology. How Control Charts Work. Control Charts for Mean and Variance. Process Capability Analysis. Control Charts for Attribute Data. Reliability. Supplementary Exercises. Bibliography.7. ESTIMATION AND STATISTICAL INTERVALS.Point Estimation. Large-Sample Confidence Intervals for a Population Mean. More Large-Sample Confidence Intervals. Small-Sample Intervals Based on a Normal Population Distribution. Intervals for µ1-µ2 Based on a Normal Population Distributions. Other Topics in Estimation (Optional). Supplementary Exercises. Bibliography.8. TESTING STATISTICAL HYPOTHESES.Hypotheses and Test Procedures. Tests Concerning Hypotheses About Means. Tests Concerning Hypotheses About a Categorical Population. Testing the Form of a Distribution. Further Aspects of Hypothesis Testing. Supplementary Exercises. Bibliography.9. THE ANALYSIS OF VARIANCE.Terminology and Concepts. Single-Factor ANOVA. Interpreting ANOVA Results. Randomized Block Experiments. Supplementary Exercises. Bibliography.10. EXPERIMENTAL DESIGN.Terminology and Concepts. Two-Factor Designs. Multifactor Designs. 2k Designs. Fractional Factorial Designs. Supplementary Exercises. Bibliography.11. INFERENTIAL METHODS IN REGRESSION AND CORRELATION.Regression and Models Involving a Single Independent Variable. Inferences About the Slope Coefficient ß. Inferences Based on the Estimated Regression Line. Multiple Regression Models. Inferences in Multiple Regression. Further Aspects of Regression Analysis. Supplementary Exercises. Bibliography.APPENDIX TABLES.ANSWERS TO ODD-NUMBERED EXERCISES.INDEX.
Table of Content
1. DATA AND DISTRIBUTIONS.Populations, Samples and Processes. Visual Displays for Univariate Data. Describing Distributions. The Normal Distribution. Other Continuous Distributions. Several Useful Discrete Distributions. Supplementary Exercises. Bibliography.2. NUMERICAL SUMMARY MEASURES.Measures of Center. Measures of Variability. More Detailed Summary Quantities. Quantile Plots. Supplementary Exercises. Bibliography.3. BIVARIATE AND MULTIVARIATE DATA AND DISTRIBUTIONS.Scatter Plots. Correlation. Fitting a Line to Bivariate Data. Nonlinear Relationships. Using More Than One Predictor. Joint Distributions. Supplementary Exercises. Bibliography.4. OBTAINING DATA.Operational Definitions. Data from Sampling. Data from Experiments. Measurement Systems. Supplementary Exercises. Bibliography.5. PROBABILITY AND SAMPLING DISTRIBUTIONS.Chance Experiments. Probability Concepts. Conditional Probability and Independence. Random Variables. Sampling Distributions. Describing Sampling Distributions. Supplementary Exercises. Bibliography.6. QUALITY CONTROL.Terminology. How Control Charts Work. Control Charts for Mean and Variance. Process Capability Analysis. Control Charts for Attribute Data. Reliability. Supplementary Exercises. Bibliography.7. ESTIMATION AND STATISTICAL INTERVALS.Point Estimation. Large-Sample Confidence Intervals for a Population Mean. More Large-Sample Confidence Intervals. Small-Sample Intervals Based on a Normal Population Distribution. Intervals for 1-2 Based on a Normal Population Distributions. Other Topics in Estimation (Optional). Supplementary Exercises. Bibliography.8. TESTING STATISTICAL HYPOTHESES.Hypotheses and Test Procedures. Tests Concerning Hypotheses About Means. Tests Concerning Hypotheses About a Categorical Population. Testing the Form of a Distribution. Further Aspects of Hypothesis Testing. Supplementary Exercises. Bibliography.9. THE ANALYSIS OF VARIANCE.Terminology and Concepts. Single-Factor ANOVA. Interpreting ANOVA Results. Randomized Block Experiments. Supplementary Exercises. Bibliography.10. EXPERIMENTAL DESIGN.Terminology and Concepts. Two-Factor Designs. Multifactor Designs. 2k Designs. Fractional Factorial Designs. Supplementary Exercises. Bibliography.11. INFERENTIAL METHODS IN REGRESSION AND CORRELATION.Regression and Models Involving a Single Independent Variable. Inferences About the Slope Coefficient . Inferences Based on the Estimated Regression Line. Multiple Regression Models. Inferences in Multiple Regression. Further Aspects of Regression Analysis. Supplementary Exercises. Bibliography.APPENDIX TABLES.ANSWERS TO ODD-NUMBERED EXERCISES.INDEX.
Copyright Date
2014
Dewey Decimal
519.5
Dewey Edition
23
Illustrated
Yes

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