Coverart for item
The Resource Statistical techniques for data analysis

Statistical techniques for data analysis

Label
Statistical techniques for data analysis
Title
Statistical techniques for data analysis
Creator
Contributor
Subject
Language
eng
Cataloging source
DLC
http://library.link/vocab/creatorDate
1912-
http://library.link/vocab/creatorName
Taylor, John K.
Dewey number
519.5
Illustrations
illustrations
Index
index present
LC call number
QA276
LC item number
.T33 2004
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Cihon, Cheryl
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Statistique mathématique
  • Data-analyse
  • Statistische analyse
  • Matematiksel istatistik
  • Análise de dados
  • Análise multivariada
  • Anwendung
  • Datenanalyse
  • Naturwissenschaften
  • Statistik
Label
Statistical techniques for data analysis
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 3
  • Standard Deviations
  • 80
  • Confidence Intervals for One Sample
  • 80
  • Does a Standard Deviation Differ Significantly from a Measured or Specified Value
  • 81
  • Statistical Tolerance Intervals
  • 82
  • Combining Confidence Intervals and Tolerance Intervals
  • 85
  • Counting Data and Enumeration
  • Do Two Means Differ Significantly
  • 87
  • Standard Deviations
  • 91
  • Do Two Standard Deviations Differ Significantly
  • 91
  • Propagation of Error in a Derived or Calculated Value
  • 94
  • Chapter 6.
  • Managing Sets of Data
  • 3
  • 100
  • Outliers
  • 100
  • The Rule of the Huge Error
  • 101
  • The Dixon Test
  • 102
  • The Grubbs Test
  • 104
  • Youden Test for Outlying Laboratories
  • Discrete Data
  • 105
  • Cochran Test for Extreme Values of Variance
  • 107
  • Combining Data Sets
  • 109
  • Statistics of Interlaboratory Collaborative Testing
  • 112
  • Validation of a Method of Test
  • 112
  • Proficiency Testing
  • 4
  • 113
  • Testing to Determine Consensus Values of Materials
  • 114
  • Random Numbers
  • 114
  • Chapter 7.
  • Presenting Data
  • 122
  • Charts
  • 123
  • Continuous Data
  • Pie Charts
  • 123
  • Bar Charts
  • 123
  • Graphs
  • 126
  • Linear Graphs
  • 126
  • Nonlinear Graphs
  • 127
  • 4
  • Nomographs
  • 128
  • MINITAB Example
  • 128
  • Mathematical Expressions
  • 131
  • Theoretical Relationships
  • 131
  • Empirical Relationships
  • 132
  • Variability
  • Linear Empirical Relationships
  • 132
  • Nonlinear Empirical Relationships
  • 133
  • Other Empirical Relationships
  • 133
  • Fitting Data
  • 133
  • Method of Selected Points
  • 133
  • 4
  • Method of Averages
  • 134
  • Method of Least Squares
  • 137
  • Chapter 8.
  • Proportions, Survival Data and Time Series Data
  • 147
  • Proportions
  • 148
  • One Sample Topics
  • Populations and Samples
  • 148
  • Two-Sided Confidence Intervals for One Sample
  • 149
  • One-Sided Confidence Intervals for One Sample
  • 150
  • Sample Sizes for Proportions-One Sample
  • 152
  • Two Sample Topics
  • 153
  • Two-Sided Confidence Intervals for Two Samples
  • Chapter 1.
  • 5
  • 154
  • Chi-Square Tests of Association
  • 155
  • One-Sided Confidence Intervals for Two Samples
  • 157
  • Sample Sizes for Proportions-Two Samples
  • 157
  • Survival Data
  • 159
  • Censoring
  • Importance of Reliability
  • 159
  • One Sample Topics
  • 160
  • Product Limit/Kaplan Meier Survival Estimate
  • 161
  • Two Sample Topics
  • 165
  • Proportional Hazards
  • 165
  • Log Rank Test
  • 5
  • 165
  • Distribution Based Survival Analyses
  • 170
  • Time Series Data
  • 174
  • Data Presentation
  • 175
  • Time Series Plots
  • 176
  • Smoothing
  • Metrology
  • 177
  • Moving Averages
  • 180
  • Chapter 9.
  • Selected Topics
  • 185
  • Basic Probability Concepts
  • 185
  • Measures of Location
  • 187
  • 6
  • Mean, Median, and Midrange
  • 187
  • Trimmed Means
  • 188
  • Average Deviation
  • 188
  • Tests for Nonrandomness
  • 189
  • Runs
  • 190
  • Computer Assisted Statistical Analyses
  • Runs in a Data Set
  • 190
  • Runs in Residuals from a Fitted Line
  • 191
  • Trends/Slopes
  • 191
  • Mean Square of Successive Differences
  • 192
  • Comparing Several Averages
  • 194
  • 7
  • Type I Errors, Type II Errors and Statistical Power
  • 195
  • The Sign of the Difference is Not Important
  • 197
  • The Sign of the Difference is Important
  • 198
  • Use of Relative Values
  • 199
  • The Ratio of Standard Deviation to Difference
  • 199
  • Chapter 2.
  • Critical Values and P Values
  • 200
  • Correlation Coefficient
  • 206
  • MINITAB Example
  • 209
  • The Best Two Out of Three
  • 209
  • Comparing a Frequency Distribution with a Normal Distribution
  • 210
  • Obtaining Meaningful Data
  • Confidence for a Fitted Line
  • 211
  • Joint Confidence Region for the Constants of a Fitted Line
  • 215
  • Shortcut Procedures
  • 216
  • Nonparametric Tests
  • 217
  • Wilcoxon Signed-Rank Test
  • 217
  • 10
  • Extreme Value Data
  • 220
  • Statistics of Control Charts
  • 221
  • Property Control Charts
  • 221
  • Precision Control Charts
  • 223
  • Systematic Trends in Control Charts
  • 224
  • What Are Data?
  • Data Production Must Be Planned
  • Simulation and Macros
  • 224
  • 10
  • The Experimental Method
  • 11
  • What Data Are Needed
  • 12
  • Amount of Data
  • 13
  • Quality Considerations
  • 13
  • 1
  • Data Quality Indicators
  • 13
  • Data Quality Objectives
  • 15
  • Systematic Measurement
  • 15
  • Quality Assurance
  • 15
  • Importance of Peer Review
  • 16
  • Kinds of Data
  • Kinds of Statistics
  • 20
  • Decisions
  • 21
  • Error and Uncertainty
  • 22
  • Kinds of Data
  • 22
  • Accuracy, Precision, and Bias
  • 22
  • 2
  • Statistical Control
  • 25
  • Data Descriptors
  • 25
  • Distributions
  • 27
  • Tests for Normality
  • 30
  • Basic Requirements for Statistical Analysis Validity
  • 36
  • Natural Data
  • MINITAB
  • 39
  • Chapter 4.
  • Statistical Calculations
  • 47
  • The Mean, Variance, and Standard Deviation
  • 48
  • Degrees of Freedom
  • 52
  • Using Duplicate Measurements to Estimate a Standard Deviation
  • 2
  • 52
  • Using the Range to Estimate the Standard Deviation
  • 54
  • Pooled Statistical Estimates
  • 55
  • Simple Analysis of Variance
  • 56
  • Log Normal Statistics
  • 64
  • Minimum Reporting Statistics
  • Experimental Data
  • 65
  • Computations
  • 66
  • Chapter 5.
  • Data Analysis Techniques
  • 72
  • Confidence Intervals for One Sample
  • 73
  • Does a Mean Differ Significantly from a Measured or Specified Value
  • 77
Control code
53285082
Dimensions
25 cm
Edition
  • 2nd ed. /
  • John K. Taylor and Cheryl Cihon.
Extent
xix, 273 pages
Isbn
9781584883852
Isbn Type
(acid-free paper)
Lccn
2003062744
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)53285082
Label
Statistical techniques for data analysis
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 3
  • Standard Deviations
  • 80
  • Confidence Intervals for One Sample
  • 80
  • Does a Standard Deviation Differ Significantly from a Measured or Specified Value
  • 81
  • Statistical Tolerance Intervals
  • 82
  • Combining Confidence Intervals and Tolerance Intervals
  • 85
  • Counting Data and Enumeration
  • Do Two Means Differ Significantly
  • 87
  • Standard Deviations
  • 91
  • Do Two Standard Deviations Differ Significantly
  • 91
  • Propagation of Error in a Derived or Calculated Value
  • 94
  • Chapter 6.
  • Managing Sets of Data
  • 3
  • 100
  • Outliers
  • 100
  • The Rule of the Huge Error
  • 101
  • The Dixon Test
  • 102
  • The Grubbs Test
  • 104
  • Youden Test for Outlying Laboratories
  • Discrete Data
  • 105
  • Cochran Test for Extreme Values of Variance
  • 107
  • Combining Data Sets
  • 109
  • Statistics of Interlaboratory Collaborative Testing
  • 112
  • Validation of a Method of Test
  • 112
  • Proficiency Testing
  • 4
  • 113
  • Testing to Determine Consensus Values of Materials
  • 114
  • Random Numbers
  • 114
  • Chapter 7.
  • Presenting Data
  • 122
  • Charts
  • 123
  • Continuous Data
  • Pie Charts
  • 123
  • Bar Charts
  • 123
  • Graphs
  • 126
  • Linear Graphs
  • 126
  • Nonlinear Graphs
  • 127
  • 4
  • Nomographs
  • 128
  • MINITAB Example
  • 128
  • Mathematical Expressions
  • 131
  • Theoretical Relationships
  • 131
  • Empirical Relationships
  • 132
  • Variability
  • Linear Empirical Relationships
  • 132
  • Nonlinear Empirical Relationships
  • 133
  • Other Empirical Relationships
  • 133
  • Fitting Data
  • 133
  • Method of Selected Points
  • 133
  • 4
  • Method of Averages
  • 134
  • Method of Least Squares
  • 137
  • Chapter 8.
  • Proportions, Survival Data and Time Series Data
  • 147
  • Proportions
  • 148
  • One Sample Topics
  • Populations and Samples
  • 148
  • Two-Sided Confidence Intervals for One Sample
  • 149
  • One-Sided Confidence Intervals for One Sample
  • 150
  • Sample Sizes for Proportions-One Sample
  • 152
  • Two Sample Topics
  • 153
  • Two-Sided Confidence Intervals for Two Samples
  • Chapter 1.
  • 5
  • 154
  • Chi-Square Tests of Association
  • 155
  • One-Sided Confidence Intervals for Two Samples
  • 157
  • Sample Sizes for Proportions-Two Samples
  • 157
  • Survival Data
  • 159
  • Censoring
  • Importance of Reliability
  • 159
  • One Sample Topics
  • 160
  • Product Limit/Kaplan Meier Survival Estimate
  • 161
  • Two Sample Topics
  • 165
  • Proportional Hazards
  • 165
  • Log Rank Test
  • 5
  • 165
  • Distribution Based Survival Analyses
  • 170
  • Time Series Data
  • 174
  • Data Presentation
  • 175
  • Time Series Plots
  • 176
  • Smoothing
  • Metrology
  • 177
  • Moving Averages
  • 180
  • Chapter 9.
  • Selected Topics
  • 185
  • Basic Probability Concepts
  • 185
  • Measures of Location
  • 187
  • 6
  • Mean, Median, and Midrange
  • 187
  • Trimmed Means
  • 188
  • Average Deviation
  • 188
  • Tests for Nonrandomness
  • 189
  • Runs
  • 190
  • Computer Assisted Statistical Analyses
  • Runs in a Data Set
  • 190
  • Runs in Residuals from a Fitted Line
  • 191
  • Trends/Slopes
  • 191
  • Mean Square of Successive Differences
  • 192
  • Comparing Several Averages
  • 194
  • 7
  • Type I Errors, Type II Errors and Statistical Power
  • 195
  • The Sign of the Difference is Not Important
  • 197
  • The Sign of the Difference is Important
  • 198
  • Use of Relative Values
  • 199
  • The Ratio of Standard Deviation to Difference
  • 199
  • Chapter 2.
  • Critical Values and P Values
  • 200
  • Correlation Coefficient
  • 206
  • MINITAB Example
  • 209
  • The Best Two Out of Three
  • 209
  • Comparing a Frequency Distribution with a Normal Distribution
  • 210
  • Obtaining Meaningful Data
  • Confidence for a Fitted Line
  • 211
  • Joint Confidence Region for the Constants of a Fitted Line
  • 215
  • Shortcut Procedures
  • 216
  • Nonparametric Tests
  • 217
  • Wilcoxon Signed-Rank Test
  • 217
  • 10
  • Extreme Value Data
  • 220
  • Statistics of Control Charts
  • 221
  • Property Control Charts
  • 221
  • Precision Control Charts
  • 223
  • Systematic Trends in Control Charts
  • 224
  • What Are Data?
  • Data Production Must Be Planned
  • Simulation and Macros
  • 224
  • 10
  • The Experimental Method
  • 11
  • What Data Are Needed
  • 12
  • Amount of Data
  • 13
  • Quality Considerations
  • 13
  • 1
  • Data Quality Indicators
  • 13
  • Data Quality Objectives
  • 15
  • Systematic Measurement
  • 15
  • Quality Assurance
  • 15
  • Importance of Peer Review
  • 16
  • Kinds of Data
  • Kinds of Statistics
  • 20
  • Decisions
  • 21
  • Error and Uncertainty
  • 22
  • Kinds of Data
  • 22
  • Accuracy, Precision, and Bias
  • 22
  • 2
  • Statistical Control
  • 25
  • Data Descriptors
  • 25
  • Distributions
  • 27
  • Tests for Normality
  • 30
  • Basic Requirements for Statistical Analysis Validity
  • 36
  • Natural Data
  • MINITAB
  • 39
  • Chapter 4.
  • Statistical Calculations
  • 47
  • The Mean, Variance, and Standard Deviation
  • 48
  • Degrees of Freedom
  • 52
  • Using Duplicate Measurements to Estimate a Standard Deviation
  • 2
  • 52
  • Using the Range to Estimate the Standard Deviation
  • 54
  • Pooled Statistical Estimates
  • 55
  • Simple Analysis of Variance
  • 56
  • Log Normal Statistics
  • 64
  • Minimum Reporting Statistics
  • Experimental Data
  • 65
  • Computations
  • 66
  • Chapter 5.
  • Data Analysis Techniques
  • 72
  • Confidence Intervals for One Sample
  • 73
  • Does a Mean Differ Significantly from a Measured or Specified Value
  • 77
Control code
53285082
Dimensions
25 cm
Edition
  • 2nd ed. /
  • John K. Taylor and Cheryl Cihon.
Extent
xix, 273 pages
Isbn
9781584883852
Isbn Type
(acid-free paper)
Lccn
2003062744
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)53285082

Library Locations

    • Thomas Jefferson LibraryBorrow it
      1 University Blvd, St. Louis, MO, 63121, US
      38.710138 -90.311107
Processing Feedback ...