Applied Statistics and Probability for Engineers

This best-selling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It's packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. Each copy of the book includes an e-Text on CD - that is a complete electronic version of book. This e-Text features enlarged figures, worked-out solutions, links to data sets for problems solved with a computer, multiple links between glossary terms and text sections for quick and easy reference, and a wealth of additional material to create a dynamic study environment for students. Suitable for a one- or two-term Jr/Sr course in probability and statistics for all engineering majors. Portada 1 Preface 5 Organization of the book 5 Acknowledgments 8 Using the book 7 Using the computer 7 Using the web 8 Contents 9 1 The Role of Statistics in Engineering 15 1-1 THE ENGINEERING METHOD AND STATISTICAL THINKING 16 1-2 COLLECTING ENGINEERING DATA 19 1-2.1 Basic Principles 19 1-2.2 Retrospective Study 19 1-2.3 Observational Study 20 1-2.4 Designed Experiments 20 1-2.5 A Factorial Experiment for the Connector Pull-off 22 1-2.6 Observing Processes Over Time 22 1-3 MECHANISTIC AND EMPIRICAL MODELS 25 1-4 PROBABILITY AND PROBABILITY MODELS 28 2 Probability 33 8 Statistical Intervals for a Single Sample 295 8-2 CONFIDENCE INTERVAL ON THE MEAN OF A NORMAL DISTRIBUTION, VARIANCE KNOWN 297 8-2.1 Development of the Confidence Interval and its Basic Properties 297 8-2.2 Choice of Sample Size 300 8-2.3 One-Sided Confidence Bounds 301 8-2.4 General Method to Derive a Confidence Interval 301 8-2.5 A Large-Sample Confidence Interval for mu 302 8-2.6 Bootstrap Confidence Intervals (CD Only) 304 8-3 CONFIDENCE INTERVAL ON THE MEAN OF A NORMAL DISTRIBUTION, VARIANCE UNKNOWN 305 8-3.1 The t Distribution 306 8-3.2 Development of the t Distribution (CD Only) 307 8-3.3 The t Confidence Interval on mu 307 8-4 CONFIDENCE INTERVAL ON THE VARIANCE AND STANDARD DEVIATION OF A NORMAL POPULATION 309 8-5 A LARGE-SAMPLE CONFIDENCE INTERVAL FOR A POPULATION PROPORTION 313 8-6 A PREDICTION INTERVAL FOR A FUTURE OBSERVATION 316 8-7 TOLERANCE INTERVALS FOR A NORMAL DISTRIBUTION 318 9 Tests of Hypotheses 329 9-1 HYPOTHESIS TESTING 330 9-1.1 Statistical Hypotheses 330 9-1.2 Tests of Statistical Hypotheses 332 9-1.3 One-Sided and Two-Sided Hypotheses 338 9-1.4 General Procedure for Hypothesis Tests 339 9-2 TESTS ON THE MEAN OF A NORMAL DISTRIBUTION, 341 9-2.1 Hypothesis Tests on the Mean 341 9-2.2 P-Values in Hypothesis Tests 344 9-2.3 Connection between Hypothesis Tests and Confidence Intervals 345 9-2.4 Type II Error and Choice of Sample Size 345 9-2.5 Large-Sample Test 349 9-2.6 Some Practical Comments on Hypothesis Tests 350 9-3 TESTS ON THE MEAN OF A NORMAL DISTRIBUTION, 352 9-3.1 Hypothesis Tests on the Mean 352 9-3.2 P-Value for a t-Test 355 9-3.3 Choice of Sample Size 356 9-3.4 Likelihood Ratio Approach to Development of Test Procedures 357 9-4 HYPOTHESIS TESTS ON THE VARIANCE AND STANDARD DEVIATION OF A NORMAL POPULATION 359 9-4.1 The Hypothesis Testing Procedures 359 9-4.2 Beta-Error and Choice of Sample Size 361 9-5 TESTS ON A POPULATION PROPORTION 362 9-5.1 Large-Sample Tests on a Proportion 362 9-5.2 Small-Sample Tests on a Proportion (CD Only) 364 9-5.3 Type II Error and Choice of Sample Size 364 9-6 SUMMARY TABLE OF INFERENCE PROCEDURES FOR A SINGLE SAMPLE 367 9-7 TESTING FOR GOODNESS OF FIT 367 9-8 CONTINGENCY TABLE TESTS 372 10 Statistical Inference 383 10-1 INTRODUCTION 384 10-2 INFERENCE FOR A DIFFERENCE IN MEANS OF TWO NORMAL DISTRIBUTIONS, VARIANCES KNOWN 384 10-2.1 Hypothesis Tests for a Difference in Means, Variances Known 385 10-2.2 Choice of Sample Size 387 10-2.3 Identifying Cause and Effect 389 10-2.4 Confidence Interval on a Difference in Means, Variances Known 390 10-3 INFERENCE FOR THE DIFFERENCE IN MEANS OF TWO NORMAL DISTRIBUTION, VARIANCES UNKNOWN 393 10-3.1 Hypotheses Tests for a Difference in Means, Variances Unknown 393 10-3.2 More about the Equal Variance Assumption (CD Only) 400 10-3.3 Choice of Sample Size 400 10-3.4 Confidence Interval on the Difference in Means 401 10-5 INFERENCES ON THE VARIANCES OF TWO NORMAL POPULATIONS 411 10-5.1 The F Distribution 411 10-5.2 Development of the F Distribution (CD Only) 413 10-5.3 Hypothesis Tests on the Ratio of Two Variances 413 10-5.4 Beta-Error and Choice of Sample Size 415 10-5.5 Confidence Interval on the Ratio of Two Variances 415 10-4 PAIRED t-TEST 405 10-6 INFERENCE ON TWO POPULATION PROPORTIONS 417 10-6.1 Large-Sample Test for H0: p1 = p2 417 10-6.2 Small-Sample Test for H0: p1 = p2 (CD Only) 420 10-6.3 Beta-Error and Choice of Sample Size 420 10-6.4 Confidence Interval for p1 - p2 421 10-7 SUMMARY TABLE FOR INFERENCE PROCEDURES FOR TWO SAMPLES 423 A lo mejor 395 Table IV 772 Portada......Page 1 Organization of the book......Page 5 Using the web......Page 8 Using the computer......Page 7 Contents......Page 9 1 The Role of Statistics in Engineering......Page 15 1-1 THE ENGINEERING METHOD AND STATISTICAL THINKING......Page 16 1-2.2 Retrospective Study......Page 19 1-2.4 Designed Experiments......Page 20 1-2.6 Observing Processes Over Time......Page 22 1-3 MECHANISTIC AND EMPIRICAL MODELS......Page 25 1-4 PROBABILITY AND PROBABILITY MODELS......Page 28 2 Probability......Page 33 8 Statistical Intervals for a Single Sample......Page 295 8-2.1 Development of the Confidence Interval and its Basic Properties......Page 297 8-2.2 Choice of Sample Size......Page 300 8-2.4 General Method to Derive a Confidence Interval......Page 301 8-2.5 A Large-Sample Confidence Interval for mu......Page 302 8-2.6 Bootstrap Confidence Intervals (CD Only)......Page 304 8-3 CONFIDENCE INTERVAL ON THE MEAN OF A NORMAL DISTRIBUTION, VARIANCE UNKNOWN......Page 305 8-3.1 The t Distribution......Page 306 8-3.3 The t Confidence Interval on mu......Page 307 8-4 CONFIDENCE INTERVAL ON THE VARIANCE AND STANDARD DEVIATION OF A NORMAL POPULATION......Page 309 8-5 A LARGE-SAMPLE CONFIDENCE INTERVAL FOR A POPULATION PROPORTION......Page 313 8-6 A PREDICTION INTERVAL FOR A FUTURE OBSERVATION......Page 316 8-7 TOLERANCE INTERVALS FOR A NORMAL DISTRIBUTION......Page 318 9 Tests of Hypotheses......Page 329 9-1.1 Statistical Hypotheses......Page 330 9-1.2 Tests of Statistical Hypotheses......Page 332 9-1.3 One-Sided and Two-Sided Hypotheses......Page 338 9-1.4 General Procedure for Hypothesis Tests......Page 339 9-2.1 Hypothesis Tests on the Mean......Page 341 9-2.2 P-Values in Hypothesis Tests......Page 344 9-2.4 Type II Error and Choice of Sample Size......Page 345 9-2.5 Large-Sample Test......Page 349 9-2.6 Some Practical Comments on Hypothesis Tests......Page 350 9-3.1 Hypothesis Tests on the Mean......Page 352 9-3.2 P-Value for a t-Test......Page 355 9-3.3 Choice of Sample Size......Page 356 9-3.4 Likelihood Ratio Approach to Development of Test Procedures......Page 357 9-4.1 The Hypothesis Testing Procedures......Page 359 9-4.2 Beta-Error and Choice of Sample Size......Page 361 9-5.1 Large-Sample Tests on a Proportion......Page 362 9-5.3 Type II Error and Choice of Sample Size......Page 364 9-7 TESTING FOR GOODNESS OF FIT......Page 367 9-8 CONTINGENCY TABLE TESTS......Page 372 10 Statistical Inference......Page 383 10-2 INFERENCE FOR A DIFFERENCE IN MEANS OF TWO NORMAL DISTRIBUTIONS, VARIANCES KNOWN......Page 384 10-2.1 Hypothesis Tests for a Difference in Means, Variances Known......Page 385 10-2.2 Choice of Sample Size......Page 387 10-2.3 Identifying Cause and Effect......Page 389 10-2.4 Confidence Interval on a Difference in Means, Variances Known......Page 390 10-3.1 Hypotheses Tests for a Difference in Means, Variances Unknown......Page 393 10-3.3 Choice of Sample Size......Page 400 10-3.4 Confidence Interval on the Difference in Means......Page 401 10-5.1 The F Distribution......Page 411 10-5.3 Hypothesis Tests on the Ratio of Two Variances......Page 413 10-5.5 Confidence Interval on the Ratio of Two Variances......Page 415 10-4 PAIRED t-TEST......Page 405 10-6.1 Large-Sample Test for H0: p1 = p2......Page 417 10-6.3 Beta-Error and Choice of Sample Size......Page 420 10-6.4 Confidence Interval for p1 - p2......Page 421 10-7 SUMMARY TABLE FOR INFERENCE PROCEDURES FOR TWO SAMPLES......Page 423 A lo mejor......Page 395 Table IV......Page 772

this Best-selling Engineering Statistics Text Provides A Practical Approach That Is More Oriented To Engineering And The Chemical And Physical Sciences Than Many Similar Texts. It's Packed With Unique Problem Sets That Reflect Realistic Situations Engineers Will Encounter In Their Working Lives.

each Copy Of The Book Includes An E-text On Cd - That Is A Complete Electronic Version Of Book. This E-text Features Enlarged Figures, Worked-out Solutions, Links To Data Sets For Problems Solved With A Computer, Multiple Links Between Glossary Terms And Text Sections For Quick And Easy Reference, And A Wealth Of Additional Material To Create A Dynamic Study Environment For Students.

suitable For A One- Or Two-term Jr/sr Course In Probability And Statistics For All Engineering Majors.

booknews

an Introductory Textbook For A First Course In Applied Statistics And Probability For Undergraduate Students In Engineering And The Physical Or Chemical Sciences. All Of The Examples And Exercises Are Engineering-based And In Almost All Cases They Use Real Data. Throughout, Output From Statgraphics And Sas Is Presented To Exemplify What Can Be Done With Modern Statistical Software. Assumes One Or Two Semesters Of Calculus. Annotation C. Book News, Inc., Portland, Or (booknews.com)

This text book had easy to understand formulas. Some short cuts were taken in the examples so if you have forgotten all your math tips, you may have to try twice to complete the problem. But this saves much needed space. The sample problems involved engineering problems, so it was easier to see relevance. I would skip the first chapter.