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Applied statistics for engineers and scientists : using Microsoft Excel and MINITAB

Author: David M Levine; Patricia P Ramsey; Robert K Smidt
Publisher: Upper Saddle River, N.J. : Prentice Hall, ©2001.
Edition/Format:   Book : EnglishView all editions and formats
Database:WorldCat
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Focuses on underlying principles that are important to students in a range of disciplines. This book emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the  Read more...

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Additional Physical Format: Online version:
Levine, David M., 1946-
Applied statistics for engineers and scientists.
Upper Saddle River, N.J. : Prentice Hall, c2001
(OCoLC)708033292
Document Type: Book
All Authors / Contributors: David M Levine; Patricia P Ramsey; Robert K Smidt
ISBN: 0134888014 9780134888019
OCLC Number: 43903792
Notes: Includes index.
Description: 1 v. (various pagings) : ill. ; 26 cm. + 1 computer optical disc (4 3/4 in.)
Details: System requirements: Microsoft Excel 7.0 (also known as Excel 95), Excel 97 or Excel 2000.
Contents: 1.2 Why Study Statistics? 2 --
1.3 Statistical Thinking: Understanding and Managing Variability 4 --
1.4 Variables, Types of Data, and Levels of Measurement 4 --
1.5 Operational Definitions 8 --
1.6 Sampling 10 --
1.7 Statistical and Spreadsheet Software 15 --
1.8 Introduction to Quality 16 --
1.9 A History of Quality and Productivity 18 --
1.10 Themes of Quality Management 21 --
1.11 Connection between Quality and Statistics 26 --
Whitney Gourmet Cat Food Company Case 28 --
Appendix 1.1 Basics of the Windows User Interface 31 --
Appendix 1.2 Introduction to Microsoft Excel 33 --
Appendix 1.3 Introduction to MINITAB 41 --
Chapter 2 Tables and Charts 44 --
2.1 Introduction and the History of Graphics 44 --
2.2 Some Tools for Studying a Process: Process Flow Diagrams and Cause-and-Effect Diagrams 45 --
2.3 Importance of the Time-Order Plot 52 --
2.4 Tables and Charts for Numerical Data 56 --
2.6 Concentration Diagrams 70 --
2.7 Graphing Categorical Data 72 --
2.8 Tables and Charts for Bivariate Categorical Data 78 --
2.9 Graphical Excellence 81 --
Whitney Gourmet Cat Food Company Case 93 --
Appendix 2.1 Using Microsoft Excel for Tables and Charts 96 --
Appendix 2.2 Using MINITAB for Tables and Charts 101 --
Chapter 3 Describing and Summarizing Data 103 --
3.1 Introduction: What's Ahead 103 --
3.2 Measures of Central Tendency, Variation, and Shape 104 --
3.3 Box-and-Whisker Plot 123 --
Whitney Gourmet Cat Food Company Case 133 --
Appendix 3.1 Using Microsoft Excel for Descriptive Statistics 133 --
Appendix 3.2 Using MINITAB for Descriptive Statistics 134 --
Chapter 4 Probability and Discrete Probability Distributions 135 --
4.2 Some Rules of Probability 138 --
4.3 Probability Distribution 144 --
4.4 Binomial Distribution 150 --
4.5 Hypergeometric Distribution 158 --
4.6 Negative Binomial and Geometric Distributions 162 --
4.7 Poisson Distribution 167 --
Appendix 4.1 Using Microsoft Excel for Probability and Probability Distributions 176 --
Appendix 4.2 Using MINITAB for Probability and Probability Distributions 179 --
Chapter 5 Continuous Probability Distributions and Sampling Distributions 180 --
5.1 Introduction to Continuous Probability Distributions 180 --
5.2 Uniform Distribution 181 --
5.3 Normal Distribution 184 --
5.4 Standard Normal Distribution As An Approximation to the Binomial and Poisson Distributions 196 --
5.5 Normal Probability Plot 199 --
5.6 Lognormal Distribution 206 --
5.7 Exponential Distribution 209 --
5.8 Weibull Distribution 211 --
5.9 Sampling Distribution of the Mean 213 --
5.10 Sampling Distribution of the Proportion 218 --
Whitney Gourmet Cat Food Company Case 224 --
Appendix 5.1 Using Microsoft Excel for Continuous Probability Distributions and Sampling Distributions 225 --
Appendix 5.2 Using MINITAB for Continuous Probability Distributions and Sampling Distributions 228 --
Chapter 6 Statistical Process Control Charts I: Basic Concepts and Attributes Charts 230 --
6.1 Introduction to Control Charts and Their Applications 230 --
6.2 Introduction to the Theory of Control Charts 233 --
6.3 Introduction to Attributes Control Charts 239 --
6.4 np and p charts 240 --
6.5 Area of Opportunity Charts (c Charts and u Charts) 256 --
Whitney Gourmet Cat Food Company Case 279 --
Mariphil Farms Dairy Case 282 --
Appendix 6.1 Using Microsoft Excel for Attribute Control Charts 284 --
Appendix 6.2 Using MINITAB for Attribute Control Charts 285 --
Chapter 7 Statistical Process Control Charts II: Variables Control Charts 287 --
7.1 Introduction to Variables Control Charts 287 --
7.2 Rational Subgroups and Sampling Decisions 288 --
7.3 Control Charts for Central Tendency (X Charts) and Variation (R and s Charts) 290 --
7.4 Control Charts for Individual Values (X Charts) 311 --
7.5 Special Considerations witht Variables Charts 325 --
7.6 Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) Charts 326 --
7.7 Process Capability 332 --
Whitney Gourmet Cat Food Company Case 351 --
Harnswell Sewing Machine Company Case 353 --
Antelope Pass Mining Company Case 357 --
Appendix 7.1 Using Microsoft Excel for Variables Control Charts 358 --
Appendix 7.2 Using MINITAB for Variables Control Charts 363 --
Chapter 8 Estimation Procedures 365 --
8.2 Properties of Estimators 365 --
8.3 Confidence Interval Estimation of the Mean 367 --
8.4 Confidence Interval Estimation for the Variance 376 --
8.5 Prediction Interval Estimate for a Future Individual Value 379 --
8.6 Tolerance Intervals 381 --
8.7 Confidence Interval Estimation for the Proportion 384 --
Whitney Gourmet Cat Food Company Case 388 --
Appendix 8.1 Using Microsoft Excel for Confidence Interval Estimation 389 --
Appendix 8.2 Using MINITAB for Confidence Interval Estimation 390 --
Chapter 9 Introduction to Hypothesis Testing 392 --
9.2 Basic Concepts of Hypothesis-Testing 393 --
9.3 One-Sample Tests for the Mean 398 --
9.4 t Test for the Difference between the Means of Two Independent Groups 413 --
9.5 Testing for the Difference between Two Variances 422 --
9.6 Repeated Measures or Paired t Test 427 --
9.7 Chi-Square Test for the Differences among Proportions in Two or More Groups 433 --
9.8 x[superscript 2] Test of Hypothesis for the Variance or Standard Deviation (Optional Topic) 447 --
9.9 Wilcoxon Rank Sum Test for the Difference between Two Medians (Optional Topic) 450 --
Whitney Gourmet Cat Food Company Case 461 --
Appendix 9.1 Using Microsoft Excel for Hypothesis Testing 462 --
Appendix 9.2 Using MINITAB for Hypothesis Testing 467 --
Chapter 10 Design of Experiments: One Factor and Randomized Block Experiments 469 --
10.2 Historical Background 470 --
10.3 Concept of Randomization 471 --
10.4 One-Way Analysis of Variance (ANOVA) 472 --
10.5 Randomized Block Model 486 --
10.6 Kruskal-Wallis Rank Test for Differences in c Medians (Optional Topic) 497 --
Whitney Gourmet Cat Food Company Case 508 --
Appendix 10.1 Using Microsoft Excel for the Analysis of Variance 509 --
Appendix 10.2 Using MINITAB for the Analysis of Variance 511 --
Chapter 11 Design of Experiments: Factorial Designs 513 --
11.1 Two-Factor Factorial Designs 513 --
11.2 Factorial Designs Involving Three or More Factors 525 --
11.3 Fractional Factorial Design 541 --
11.4 Taguchi Approach 550 --
Whitney Gourmet Cat Food Company Case 563 --
Appendix 11.1 Using Microsoft Excel for the Two-Factor Factorial Design 565 --
Appendix 11.2 Using MINITAB for Factorial Designs 566 --
Chapter 12 Simple Linear Regression and Correlation 567 --
12.2 Types of Regression Models 568 --
12.3 Determining the Simple Linear Regression Equation 570 --
12.4 Measures of Variation in Regression and Correlation 577 --
12.5 Assumptions of Regression and Correlation 581 --
12.6 Residual Analysis 582 --
12.7 Inferences About the Slope 587 --
12.8 Confidence and Prediction Interval Estimation 591 --
12.9 Pitfalls in Regression and Ethical Issues 596 --
12.10 Computations in Simple Linear Regression 599 --
12.11 Correlation--Measuring the Strength of the Association 603 --
Whitney Gourmet Cat Food Company Case 612 --
Appendix 12.1 Using Microsoft Excel for Simple Linear Regression and Correlation 613 --
Appendix 12.2 Using MINITAB for Simple Linear Regression and Correlation 615 --
Chapter 13 Multiple Regression 616 --
13.1 Developing the Multiple-Regression Model 616 --
13.2 Residual Analysis for the Multiple-Regression Model 624 --
13.3 Testing for the Significance of the Multiple-Regression Model 626 --
13.4 Inferences Concerning the Population Regression Coefficients 628 --
13.5 Testing Portions of the Multiple-Regression Model 631 --
13.6o Quadratic Curvilinear Regression Model 638 --
13.7 Dummy-Variable Models 646 --
13.8 Using Transformations in Regression Models 651 --
13.9 Collinearity 654 --
13.10 Model-Building 655 --
13.11 Pitfalls in Multiple Regression 664 --
Appendix 13.1 Using Microsoft Excel for Multiple-Regression Models 668 --
Appendix 13.2 Using MINITAB for Multiple Models Regression 670 --
A.1 Table of Random Numbers 2 --
A.2 Standard Normal Distribution 4 --
A.3 Control Chart Factors 5 --
A.4 Critical Values of t 6 --
A.5a K[subscript 2] Factors for Normal Distributions 8 --
A.5b K[subscript 1] Factors for One-Sided Tolerance Intervals for Normal Distributions 9 --
A.6 Critical Values of x[superscript 2] 10 --
A.7 Critical Values of F 11 --
A.8 Lower and Upper Critical Values T[subscript 1] of Wilcoxon Rank Sum Test 15 --
A.9 Critical Values of the Studentized Range Q --
B. Statistical Forms 1 --
B.1 Normal Probability Paper 1 --
B.2 Sample form for Data Collection and Construction of Attribute Control Charts 2 --
C. Documentation for the Data Files 1 --
D. Installing the PHStat Microsoft Excel Add-In 1.
Responsibility: David M. Levine, Patricia P. Ramsey, Robert K. Smidt.

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