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Applied Statistics for Engineers an..., Farnum, Nichola

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Características del artículo

Estado
Aceptable: Libro con un desgaste evidente. La tapa puede tener algunos desperfectos, pero el libro ...
Book Title
Applied Statistics for Engineers and Scientists
ISBN
0534467199
EAN
9780534467197
Release Title
Applied Statistics for Engineers and Scientists
Artist
Farnum, Nicholas R.
Brand
N/A
Colour
N/A
Categoría

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Product Identifiers

Publisher
Brooks/Cole
ISBN-10
0534467199
ISBN-13
9780534467197
eBay Product ID (ePID)
30507088

Product Key Features

Number of Pages
632 Pages
Publication Name
Applied Statistics for Engineers and Scientists
Language
English
Publication Year
2004
Subject
Engineering (General), Probability & Statistics / General, Statistics
Features
Revised
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Business & Economics
Author
Jay L. Devore, Nicholas R. Farnum
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
39.3 Oz
Item Length
9.5 in
Item Width
7.6 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
LCCN
2003-111109
Dewey Edition
23
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.
Illustrated
Yes
Dewey Decimal
519.5
Edition Description
Revised edition
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 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.
Synopsis
This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR ENGINEERS AND SCIENTISTS is ideal for one-term courses that cover probability only to the extent that it is needed for inference. The authors emphasize application of methods to real problems, with real examples throughout. The text is designed to meet ABET standards and has been updated to reflect the most current methodology and practice., 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.
LC Classification Number
TA340

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