Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for
Practical Statistics For Engineers And Scientists
โ Scribed by Cheremisinoff, Nicholas P;Ferrante, Louise
- Publisher
- CRC Press
- Year
- 2020
- Tongue
- English
- Leaves
- 224
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book provides direction in constructing regression routines that can be used with worksheet software on personal computers. The book lists useful references for those readers who desire more in-depth understanding of the mathematical bases, and is helpful for science and engineering students.
โฆ Table of Contents
Cover......Page 1
Half Title......Page 2
Title Page......Page 4
Copyright Page......Page 5
Table of Contents......Page 6
Preface......Page 10
About the Author......Page 12
Use of Subscripts......Page 14
Definitions of Distributions......Page 15
Measures of Location, Means and Data Coding......Page 17
Variability of Data......Page 20
Types of Distributions......Page 22
Practice Problems......Page 24
Confidence Interval......Page 26
Sample Size and Estimating ฯ......Page 30
Probability Chart Paper......Page 37
Tests of Hypotheses......Page 39
Outliers and Tolerance Intervals......Page 47
Practice Problems......Page 52
Control Charts......Page 54
Cumulative Sum Control Charts......Page 61
Introduction to Spectral Analysis......Page 63
Sampling Error......Page 79
Practice Problems......Page 81
Procedures for Comparing Means and Variances......Page 84
Two-Sided Comparison of Two Variances......Page 86
One-Sided Comparison of Two Variances......Page 91
Comparison of Means......Page 97
General Terminology......Page 101
Homogeneity of Variances......Page 102
One-Way Analysis of Variances (ANOVA)......Page 106
Two- and Three-Way ANOVA's......Page 113
Practice Problems......Page 122
Introduction to Correlation Concepts......Page 126
Correlation Functions and Spectral Density Analysis......Page 131
Practice Problems......Page 139
Linear Regression......Page 142
Quadrotic Models......Page 152
Multiple Regression......Page 155
Performing Regressions on Spreadsheets......Page 162
Practice Problems......Page 171
Factorial Designs......Page 174
Factorial Points and Analysis of Interactions......Page 177
Screening Tests and Overall Design......Page 184
Closure and General Comments on Experimental Design......Page 196
Getting Started......Page 200
Importing a LOTUS 1-2-3 Data File......Page 201
Perfonning the Regression......Page 202
Main Features......Page 204
Other Features......Page 206
Three-Variable Regression Models......Page 207
Nested Designs......Page 210
Probit Analysis......Page 212
Trimming......Page 213
Bibliography......Page 214
Suggested Readings......Page 216
Index......Page 218
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Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. Statistics for
<p>Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an
Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work. This edition features a unique approach highlighted by an