InnerSoft STATS - Index
•
0 likes•129 views
This document provides an index of sections covered in the manual for the InnerSoft STATS application. It includes sections on installation and activation, an introduction to the application, how to work within the main window and project manager window, the analyze menu options which cover various statistical tests, the graphs menu options for creating different graph types, and contact information.
Report
Share
Report
Share
Download to read offline
Recommended
Introduction to STATA(2).pdf
Introducing STATA is a document that summarizes the key features and capabilities of the statistical software package STATA. It describes STATA as a powerful and flexible package for statistical analysis, data management, and publication-quality graphing. The document outlines STATA's main interface elements including its command window, results window, variable window, and other windows. It also explains how to import and export data, use do-files to record analyses, and manage variables through labeling, generating new variables, and replacing values.
Test strategy utilising mc useful tools
1) The document outlines a high level test strategy that involves layering the project under test and identifying components in each layer. It describes identifying test basis documentation, creating a dependency matrix, and formulating an overall test "big picture".
2) Test packs will be designed based on project layers, and key documentation will be stored in a repository to facilitate test coverage analysis. A dependency matrix and big picture diagram will guide regression test selection.
3) Tools like DocIndex, InternetMiner and VisioDecompositer are used to extract and store information from documents, web pages and diagrams to generate the test basis repository, and inform the dependency matrix and big picture diagram.
Data analysis using spss
This one-day workshop on data analysis using SPSS has two parts. Part 1 covers entering data into SPSS, including preparing datasets, transforming data, and running descriptive statistics. Part 2 provides an overview of statistical analysis techniques and how to choose the appropriate technique for decision making, giving examples. The document introduces SPSS and its four windows: the data editor, output viewer, syntax editor, and script window. It describes how to define variables, enter and manage data files, sort cases, compute new variables, and perform basic analyses like frequencies, descriptives, and linear regression. Proper use of statistical techniques depends on the research question, variable types and definitions, and assumptions.
Spss (1)
This document provides an overview of using the statistical software package SPSS. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and saving data. Finally, it demonstrates some common analyses in SPSS including frequencies, descriptives, and linear regression as well as how to interpret the outputs and plot regression lines. The overall purpose is to introduce the basics of using SPSS to perform statistical analysis and data management.
Test data documentation ss
This document discusses the importance of test data documentation. It defines test data as samples of valid and invalid data used for testing. Documenting test data has advantages like reusing data for regression testing and aiding user acceptance testing. Test design techniques like boundary value analysis and equivalence partitioning help identify test data by partitioning inputs. The document emphasizes generating comprehensive test data through templates and linking it to test scripts to ensure test coverage.
UNIT 4.pptx
Microsoft Excel is a spreadsheet program used to record and analyse numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming, etc.
An Excel spreadsheet can be understood as a collection of columns and rows that form a table. Alphabetical letters are usually assigned to columns, and numbers are usually assigned to rows. The point where a column and a row meet is called a cell.
SPSS (Statistical Package for the Social Sciences) is a versatile and responsive program designed to undertake a range of statistical procedures. SPSS software is widely used in a range of disciplines and is available from all computer pools within the University of South Australia.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964 as OMNITAB program for IBM 7090. The documentation for OMNITAB 80 was last published 1986, and there has been no significant development since then.
R is a language and environment for statistical computing and graphics."
"R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible."
"One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.“
Brief Introduction to the 12 Steps of Evaluation Data Cleaning
The document outlines 12 steps for cleaning evaluation data to ensure it is accurate, complete, high-quality, reliable, unbiased, and valid. The steps include creating a data codebook and analysis plan, performing frequency analyses to check for errors, modifying variables, assessing normality and missing data, and testing assumptions before final analyses. Following these steps can help produce credible, generalizable conclusions and avoid statistical issues.
Design testabilty
The anonymised slides from an old (but hopefully still relevant) talk on the case for placing a strategic focus on design testability. The material covers the technical, process and organisational considerations arising from such a strategy and is predominantly a summary of the ideas presented in Brett Pettichord's 2001 "Design For Testability' paper available here. The presentation makes a case for why a high level of design testability can be seen as a critical success factor in achieving sustained agility.
Recommended
Introduction to STATA(2).pdf
Introducing STATA is a document that summarizes the key features and capabilities of the statistical software package STATA. It describes STATA as a powerful and flexible package for statistical analysis, data management, and publication-quality graphing. The document outlines STATA's main interface elements including its command window, results window, variable window, and other windows. It also explains how to import and export data, use do-files to record analyses, and manage variables through labeling, generating new variables, and replacing values.
Test strategy utilising mc useful tools
1) The document outlines a high level test strategy that involves layering the project under test and identifying components in each layer. It describes identifying test basis documentation, creating a dependency matrix, and formulating an overall test "big picture".
2) Test packs will be designed based on project layers, and key documentation will be stored in a repository to facilitate test coverage analysis. A dependency matrix and big picture diagram will guide regression test selection.
3) Tools like DocIndex, InternetMiner and VisioDecompositer are used to extract and store information from documents, web pages and diagrams to generate the test basis repository, and inform the dependency matrix and big picture diagram.
Data analysis using spss
This one-day workshop on data analysis using SPSS has two parts. Part 1 covers entering data into SPSS, including preparing datasets, transforming data, and running descriptive statistics. Part 2 provides an overview of statistical analysis techniques and how to choose the appropriate technique for decision making, giving examples. The document introduces SPSS and its four windows: the data editor, output viewer, syntax editor, and script window. It describes how to define variables, enter and manage data files, sort cases, compute new variables, and perform basic analyses like frequencies, descriptives, and linear regression. Proper use of statistical techniques depends on the research question, variable types and definitions, and assumptions.
Spss (1)
This document provides an overview of using the statistical software package SPSS. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and saving data. Finally, it demonstrates some common analyses in SPSS including frequencies, descriptives, and linear regression as well as how to interpret the outputs and plot regression lines. The overall purpose is to introduce the basics of using SPSS to perform statistical analysis and data management.
Test data documentation ss
This document discusses the importance of test data documentation. It defines test data as samples of valid and invalid data used for testing. Documenting test data has advantages like reusing data for regression testing and aiding user acceptance testing. Test design techniques like boundary value analysis and equivalence partitioning help identify test data by partitioning inputs. The document emphasizes generating comprehensive test data through templates and linking it to test scripts to ensure test coverage.
UNIT 4.pptx
Microsoft Excel is a spreadsheet program used to record and analyse numerical and statistical data. Microsoft Excel provides multiple features to perform various operations like calculations, pivot tables, graph tools, macro programming, etc.
An Excel spreadsheet can be understood as a collection of columns and rows that form a table. Alphabetical letters are usually assigned to columns, and numbers are usually assigned to rows. The point where a column and a row meet is called a cell.
SPSS (Statistical Package for the Social Sciences) is a versatile and responsive program designed to undertake a range of statistical procedures. SPSS software is widely used in a range of disciplines and is available from all computer pools within the University of South Australia.
DOE is an essential tool to ensure products and processes satisfy Quality by Design requirements imposed by regulatory agencies. Using a QbD approach to develop your testing process can help you reduce waste, meet compliance criteria and get to market faster.
DOE helps you create a reliable QbD process for assessing formula robustness, determining critical quality attributes and predicting shelf life by using a few months of historical data.
Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F. Ryan, Thomas A. Ryan, Jr., and Brian L. Joiner in conjunction with Triola Statistics Company in 1972.
It began as a light version of OMNITAB 80, a statistical analysis program by NIST, which was conceived by Joseph Hilsenrath in years 1962-1964 as OMNITAB program for IBM 7090. The documentation for OMNITAB 80 was last published 1986, and there has been no significant development since then.
R is a language and environment for statistical computing and graphics."
"R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible."
"One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.“
Brief Introduction to the 12 Steps of Evaluation Data Cleaning
The document outlines 12 steps for cleaning evaluation data to ensure it is accurate, complete, high-quality, reliable, unbiased, and valid. The steps include creating a data codebook and analysis plan, performing frequency analyses to check for errors, modifying variables, assessing normality and missing data, and testing assumptions before final analyses. Following these steps can help produce credible, generalizable conclusions and avoid statistical issues.
Design testabilty
The anonymised slides from an old (but hopefully still relevant) talk on the case for placing a strategic focus on design testability. The material covers the technical, process and organisational considerations arising from such a strategy and is predominantly a summary of the ideas presented in Brett Pettichord's 2001 "Design For Testability' paper available here. The presentation makes a case for why a high level of design testability can be seen as a critical success factor in achieving sustained agility.
Practical Tools for Measurement Systems Analysis
Practical Tools for Measurement Systems Analysis presented at the American Statistical Association's Orange County and Long Beach Chapter quarterly meeting
SPSS an intro...
This document provides an introduction to using SPSS (Statistical Package for the Social Sciences) for data analysis. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and sorting data. Several basic analysis techniques are introduced, such as frequencies, descriptives, and linear regression. Examples are provided for how to conduct these analyses and interpret the outputs.
Test Data, Information, Knowledge, Wisdom: past, present & future of standing...
The document discusses test data for software testing from both past and present perspectives. It begins by covering definitions and concepts related to test data from ISO 29119 standards. It then discusses the basics of test data and how test data requirements and information are developed through the test planning, design and implementation processes. The document also discusses different sources of test data and how test data relates to different testing levels and techniques like unit testing, integration testing and system testing.
Factors affecting Design of Experiment (DOE) and softwares of DOE
What is an experiment ?
An experiment refers to any process that generates a set of data.
An experiment involves a test or series of test in which purposeful changes are made to the input variables of a process or system so that changes in the output responses can be observed and identified.
Data exploration validation and sanitization
This document discusses preparing data for analysis. It covers the need for data exploration including validation, sanitization, and treatment of missing values and outliers. The main steps in statistical data analysis are also presented. Specific techniques discussed include calculating frequency counts and descriptive statistics to understand the distribution and characteristics of variables in a loan data set with 250,000 observations. SAS procedures like Proc Freq, Proc Univariate, and Proc Means are demonstrated for exploring the data.
Design of experiments BY Minitab
The design of experiments (DOE, DOX, or experimental design) is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.
The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation.
In its simplest form, an experiment aims at predicting the outcome by introducing a change of the preconditions, which is represented by one or more independent variables, also referred to as "input variables" or "predictor variables."
The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables."
4 Statistical Software.pptx
Epi Info and SPSS are software packages used for data entry, management, and analysis in epidemiology and public health. Epi Info is a free software developed by CDC that allows users to rapidly develop electronic data entry forms, enter data, and analyze the data. It has advantages of being free, user-friendly, and serving as an all-in-one software for data entry, management and basic analysis. SPSS is a statistical software package that can be used to conduct more complex statistical analyses, generate tables and graphs, and manipulate data. Both software have features for data entry, management, and descriptive and basic analytical capabilities, though SPSS allows for more advanced statistical analyses.
Gain evaluator session (2)
This document provides an overview of resources and tools for conducting program evaluation using GAIN (Global Appraisal of Individual Needs) data. It discusses the large CSAT GAIN-I dataset containing over 22,000 clients, with follow-up rates ranging from 48-97% depending on the program. Evaluators have access to prepared analytic datasets for their local program, as well as site profiles, treatment logs, and other resources to aid evaluation and collaboration. The document reviews available scales, indices, and other measures, and provides guidance on accessing training manuals, syntax files, and other tools through the GCC website.
Test Planning_Arsala
The document discusses test planning and documentation. It defines test planning as creating test cases and strategies to control and communicate testing. A test plan scope, approach, resources, schedule and identifies items to test. Objectives are to design verification, manage efforts, and find bugs. It recommends types of tests to cover and provides a template for test plans with components like lists, tables, and matrices.
Spss as a research tool
This presentation introduces SPSS as a statistical analysis software tool. SPSS can be used for tasks like processing questionnaires, reporting data in tables and graphs, and analyzing data through various tests like means, chi-square, and regression. It is commonly used in fields like telecommunications, banking, finance, insurance, healthcare, manufacturing, retail, education, and market research. Key features of SPSS include its ease of use, robust data management and editing tools, in-depth statistical capabilities, and reporting features. The presentation demonstrates how to get data into SPSS, enter and edit variables and data, and describes the basic steps of data analysis using various statistical procedures available in SPSS.
Getting Familiar with SPSS Menus and Icons
Contents:
File
View
Data
Transform
Analyze
Direct Marketing
Graphs
Utilities
Extensions
Windows
Help
Testing in the New World of Off-the-Shelf Software
Testing an off-the-shelf, sometimes called COTS, system? Often, project managers and stakeholders mistakenly believe that one benefit of purchasing software is that there is little, if any, testing required. This could not be further from the truth. Testing COTS software requires a different focus from traditional testing approaches. Although no software package will be delivered free of bugs, the testing focus from the purchasing organization’s perspective is not on validating the base functionality. Gerie Owen and Peter Varhol share a framework for testing COTS packages and discuss in detail each of the major focus areas―customizations and configurations, integration, data, and performance. Discover how to work with business processes and integration maps to design an effective test strategy. Whether you are testing a small COTS package or a large enterprise COTS application, join Gerie and Peter to learn how to focus your testing effectively and develop a new test skill set.
SWT2_tim.pptx
The document discusses software testing throughout the software development life cycle. It covers key topics like software development life cycle models, test levels, test types, and maintenance testing. Test levels include component testing, integration testing, and system testing. Software development life cycle models can be sequential, iterative, or incremental. The document provides details on various models like waterfall, V-model, spiral, agile development, etc. It also discusses test planning, test design techniques, integration strategies like big bang, top-down and bottom-up integration.
Tool-Support-For-Testing-Section-6.pptx
This document discusses test tools and their classification and use. It describes different types of tools used for test management, requirements management, defect tracking, configuration management, static testing, test design, test execution and logging, performance and monitoring, and introduces risks and benefits of tool usage. Key tools mentioned include Jira, Mantis, Bugzilla, HP ALM, Eclipse, IntelliJ IDEA, MySQL Workbench, Selenium, and LoadRunner. The document emphasizes that simply purchasing tools does not guarantee success and benefits require effort to realize.
Clinical Data Classification of alzheimer's disease
The document discusses using machine learning algorithms to classify clinical data related to Alzheimer's disease. It provides an overview of the process, which includes preprocessing 60 datasets, generating a merged file with clinical dementia ratings, creating prediction datasets by mapping visit intervals, and applying classification algorithms like J48 and Naive Bayes to the preprocessed data in WEKA. The goal is to analyze the output from applying these algorithms to aid in predicting a patient's future clinical status.
DataONE Education Module 09: Analysis and Workflows
Lesson 9 in a set of 10 created by DataONE on Best Practices for Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Software Testing Foundations Part 7 - Basics of Test Management
This document provides an overview of test management basics, including:
- Testing roles like test manager, designer, and tester.
- Prioritizing tests based on criteria like usage, risk, and requirements.
- Establishing test exit criteria around coverage, quality, and risk.
- Approaches to test planning, design, and management, including risk-based testing.
- Activities like test cycle planning, monitoring, and incident management.
- The importance of configuration management to the testing process.
HighScore Plus for Crystallite Size Analysis.pptx
This document provides instructions for using the HighScore Plus software to perform line profile analysis for crystallite size and microstrain estimation using X-ray powder diffraction (XRPD) data. It describes how to create an instrument profile calibration curve using a standard reference material, exclude peaks from the analysis as needed, and analyze the data to determine crystallite size and microstrain values using the peak breadth measurements and Williamson-Hall plot. The document emphasizes that both microstrain-only and crystallite size-only models should be tested to accurately evaluate the relative contributions of each.
Workshop on SPSS: Basic to Intermediate Level
A workshop on SPSS: Basic to Intermediate Level in Kuching on 16-17 May 2015 hosted by Sarawak Research Society
PSPP overview and Introduction to R & R Commander
The document provides an overview of statistical software PSPP (Perfect Statistics Professionally Presented). It discusses how to construct a PSPP data file, including importing data from other formats, recoding variables, and processing the data. It also describes how to analyze data in PSPP using both parametric and non-parametric tests, including frequency analyses, bivariate analyses like cross-tabs and correlations, and subgroup selection. Finally, it introduces the statistical software R.
InnerSoft CAD para AutoCAD, v4.0 Manual
InnerSoft CAD es un programa para la elaboración de mediciones para proyectos de construcción en el entorno AutoCAD, la ayuda en tareas de topografía y la exportación / importación de datos de objetos entre AutoCAD y MS Excel. Con este programa usted podrá:
Realizar mediciones en AutoCAD y ordenarlas según Capítulos y Partidas previamente a su exportación a Excel o exportación en formato XML.
Crear listados de dibujos *.dxf y *.dwg presentes en el ordenador para su gestión.
Extraer todos los bloques de un dibujo en archivos individuales de AutoCAD (cada definición de bloque en un único archivo *.dwg).
Exportar a una tabla de Excel el área, longitud, volumen o coordenadas (además de otras) de tantos objetos de AutoCAD como elija en pantalla.
Importar desde Excel, según diferentes métodos, las coordenadas de una nube de puntos o bien el listado de vértices de un conjunto de polilíneas o polilíneas-3D. También dispone de un modulo para la importación de textos, según puntos de inserción para cada texto.
Consultar en pantalla la suma total del área o longitud de distintas entidades de AutoCAD, además de la longitud total de un camino trazado por puntos sobre el dibujo.
Hallar el perfil longitudinal o sección para un terreno, mallar terrenos o triangular una nube de puntos. Dibujar clotoides, parabolas, acuerdos verticales parabolicos, catenarias, curvas de transicion con clotoides y acuerdos horizontales circulares.
InnerSoft STATS - Methods and formulas help
The document defines several statistical formulas for calculating measures such as mean, variance, skewness, and kurtosis from sample data. It also provides formulas for statistical tests like chi-square, Fisher's exact test, McNemar's test, and odds ratios. Sources are cited for each formula, typically a Wikipedia page on the given statistical measure or test.
More Related Content
Similar to InnerSoft STATS - Index
Practical Tools for Measurement Systems Analysis
Practical Tools for Measurement Systems Analysis presented at the American Statistical Association's Orange County and Long Beach Chapter quarterly meeting
SPSS an intro...
This document provides an introduction to using SPSS (Statistical Package for the Social Sciences) for data analysis. It discusses the four main windows in SPSS - the data editor, output viewer, syntax editor, and script window. It also covers the basics of managing data files, including opening SPSS, defining variables, and sorting data. Several basic analysis techniques are introduced, such as frequencies, descriptives, and linear regression. Examples are provided for how to conduct these analyses and interpret the outputs.
Test Data, Information, Knowledge, Wisdom: past, present & future of standing...
The document discusses test data for software testing from both past and present perspectives. It begins by covering definitions and concepts related to test data from ISO 29119 standards. It then discusses the basics of test data and how test data requirements and information are developed through the test planning, design and implementation processes. The document also discusses different sources of test data and how test data relates to different testing levels and techniques like unit testing, integration testing and system testing.
Factors affecting Design of Experiment (DOE) and softwares of DOE
What is an experiment ?
An experiment refers to any process that generates a set of data.
An experiment involves a test or series of test in which purposeful changes are made to the input variables of a process or system so that changes in the output responses can be observed and identified.
Data exploration validation and sanitization
This document discusses preparing data for analysis. It covers the need for data exploration including validation, sanitization, and treatment of missing values and outliers. The main steps in statistical data analysis are also presented. Specific techniques discussed include calculating frequency counts and descriptive statistics to understand the distribution and characteristics of variables in a loan data set with 250,000 observations. SAS procedures like Proc Freq, Proc Univariate, and Proc Means are demonstrated for exploring the data.
Design of experiments BY Minitab
The design of experiments (DOE, DOX, or experimental design) is the design of any task that aims to describe and explain the variation of information under conditions that are hypothesized to reflect the variation.
The term is generally associated with experiments in which the design introduces conditions that directly affect the variation, but may also refer to the design of quasi-experiments, in which natural conditions that influence the variation are selected for observation.
In its simplest form, an experiment aims at predicting the outcome by introducing a change of the preconditions, which is represented by one or more independent variables, also referred to as "input variables" or "predictor variables."
The change in one or more independent variables is generally hypothesized to result in a change in one or more dependent variables, also referred to as "output variables" or "response variables."
4 Statistical Software.pptx
Epi Info and SPSS are software packages used for data entry, management, and analysis in epidemiology and public health. Epi Info is a free software developed by CDC that allows users to rapidly develop electronic data entry forms, enter data, and analyze the data. It has advantages of being free, user-friendly, and serving as an all-in-one software for data entry, management and basic analysis. SPSS is a statistical software package that can be used to conduct more complex statistical analyses, generate tables and graphs, and manipulate data. Both software have features for data entry, management, and descriptive and basic analytical capabilities, though SPSS allows for more advanced statistical analyses.
Gain evaluator session (2)
This document provides an overview of resources and tools for conducting program evaluation using GAIN (Global Appraisal of Individual Needs) data. It discusses the large CSAT GAIN-I dataset containing over 22,000 clients, with follow-up rates ranging from 48-97% depending on the program. Evaluators have access to prepared analytic datasets for their local program, as well as site profiles, treatment logs, and other resources to aid evaluation and collaboration. The document reviews available scales, indices, and other measures, and provides guidance on accessing training manuals, syntax files, and other tools through the GCC website.
Test Planning_Arsala
The document discusses test planning and documentation. It defines test planning as creating test cases and strategies to control and communicate testing. A test plan scope, approach, resources, schedule and identifies items to test. Objectives are to design verification, manage efforts, and find bugs. It recommends types of tests to cover and provides a template for test plans with components like lists, tables, and matrices.
Spss as a research tool
This presentation introduces SPSS as a statistical analysis software tool. SPSS can be used for tasks like processing questionnaires, reporting data in tables and graphs, and analyzing data through various tests like means, chi-square, and regression. It is commonly used in fields like telecommunications, banking, finance, insurance, healthcare, manufacturing, retail, education, and market research. Key features of SPSS include its ease of use, robust data management and editing tools, in-depth statistical capabilities, and reporting features. The presentation demonstrates how to get data into SPSS, enter and edit variables and data, and describes the basic steps of data analysis using various statistical procedures available in SPSS.
Getting Familiar with SPSS Menus and Icons
Contents:
File
View
Data
Transform
Analyze
Direct Marketing
Graphs
Utilities
Extensions
Windows
Help
Testing in the New World of Off-the-Shelf Software
Testing an off-the-shelf, sometimes called COTS, system? Often, project managers and stakeholders mistakenly believe that one benefit of purchasing software is that there is little, if any, testing required. This could not be further from the truth. Testing COTS software requires a different focus from traditional testing approaches. Although no software package will be delivered free of bugs, the testing focus from the purchasing organization’s perspective is not on validating the base functionality. Gerie Owen and Peter Varhol share a framework for testing COTS packages and discuss in detail each of the major focus areas―customizations and configurations, integration, data, and performance. Discover how to work with business processes and integration maps to design an effective test strategy. Whether you are testing a small COTS package or a large enterprise COTS application, join Gerie and Peter to learn how to focus your testing effectively and develop a new test skill set.
SWT2_tim.pptx
The document discusses software testing throughout the software development life cycle. It covers key topics like software development life cycle models, test levels, test types, and maintenance testing. Test levels include component testing, integration testing, and system testing. Software development life cycle models can be sequential, iterative, or incremental. The document provides details on various models like waterfall, V-model, spiral, agile development, etc. It also discusses test planning, test design techniques, integration strategies like big bang, top-down and bottom-up integration.
Tool-Support-For-Testing-Section-6.pptx
This document discusses test tools and their classification and use. It describes different types of tools used for test management, requirements management, defect tracking, configuration management, static testing, test design, test execution and logging, performance and monitoring, and introduces risks and benefits of tool usage. Key tools mentioned include Jira, Mantis, Bugzilla, HP ALM, Eclipse, IntelliJ IDEA, MySQL Workbench, Selenium, and LoadRunner. The document emphasizes that simply purchasing tools does not guarantee success and benefits require effort to realize.
Clinical Data Classification of alzheimer's disease
The document discusses using machine learning algorithms to classify clinical data related to Alzheimer's disease. It provides an overview of the process, which includes preprocessing 60 datasets, generating a merged file with clinical dementia ratings, creating prediction datasets by mapping visit intervals, and applying classification algorithms like J48 and Naive Bayes to the preprocessed data in WEKA. The goal is to analyze the output from applying these algorithms to aid in predicting a patient's future clinical status.
DataONE Education Module 09: Analysis and Workflows
Lesson 9 in a set of 10 created by DataONE on Best Practices for Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
Software Testing Foundations Part 7 - Basics of Test Management
This document provides an overview of test management basics, including:
- Testing roles like test manager, designer, and tester.
- Prioritizing tests based on criteria like usage, risk, and requirements.
- Establishing test exit criteria around coverage, quality, and risk.
- Approaches to test planning, design, and management, including risk-based testing.
- Activities like test cycle planning, monitoring, and incident management.
- The importance of configuration management to the testing process.
HighScore Plus for Crystallite Size Analysis.pptx
This document provides instructions for using the HighScore Plus software to perform line profile analysis for crystallite size and microstrain estimation using X-ray powder diffraction (XRPD) data. It describes how to create an instrument profile calibration curve using a standard reference material, exclude peaks from the analysis as needed, and analyze the data to determine crystallite size and microstrain values using the peak breadth measurements and Williamson-Hall plot. The document emphasizes that both microstrain-only and crystallite size-only models should be tested to accurately evaluate the relative contributions of each.
Workshop on SPSS: Basic to Intermediate Level
A workshop on SPSS: Basic to Intermediate Level in Kuching on 16-17 May 2015 hosted by Sarawak Research Society
PSPP overview and Introduction to R & R Commander
The document provides an overview of statistical software PSPP (Perfect Statistics Professionally Presented). It discusses how to construct a PSPP data file, including importing data from other formats, recoding variables, and processing the data. It also describes how to analyze data in PSPP using both parametric and non-parametric tests, including frequency analyses, bivariate analyses like cross-tabs and correlations, and subgroup selection. Finally, it introduces the statistical software R.
Similar to InnerSoft STATS - Index (20)
Test Data, Information, Knowledge, Wisdom: past, present & future of standing...
Test Data, Information, Knowledge, Wisdom: past, present & future of standing...
Factors affecting Design of Experiment (DOE) and softwares of DOE
Factors affecting Design of Experiment (DOE) and softwares of DOE
Testing in the New World of Off-the-Shelf Software
Testing in the New World of Off-the-Shelf Software
Clinical Data Classification of alzheimer's disease
Clinical Data Classification of alzheimer's disease
DataONE Education Module 09: Analysis and Workflows
DataONE Education Module 09: Analysis and Workflows
Software Testing Foundations Part 7 - Basics of Test Management
Software Testing Foundations Part 7 - Basics of Test Management
More from InnerSoft
InnerSoft CAD para AutoCAD, v4.0 Manual
InnerSoft CAD es un programa para la elaboración de mediciones para proyectos de construcción en el entorno AutoCAD, la ayuda en tareas de topografía y la exportación / importación de datos de objetos entre AutoCAD y MS Excel. Con este programa usted podrá:
Realizar mediciones en AutoCAD y ordenarlas según Capítulos y Partidas previamente a su exportación a Excel o exportación en formato XML.
Crear listados de dibujos *.dxf y *.dwg presentes en el ordenador para su gestión.
Extraer todos los bloques de un dibujo en archivos individuales de AutoCAD (cada definición de bloque en un único archivo *.dwg).
Exportar a una tabla de Excel el área, longitud, volumen o coordenadas (además de otras) de tantos objetos de AutoCAD como elija en pantalla.
Importar desde Excel, según diferentes métodos, las coordenadas de una nube de puntos o bien el listado de vértices de un conjunto de polilíneas o polilíneas-3D. También dispone de un modulo para la importación de textos, según puntos de inserción para cada texto.
Consultar en pantalla la suma total del área o longitud de distintas entidades de AutoCAD, además de la longitud total de un camino trazado por puntos sobre el dibujo.
Hallar el perfil longitudinal o sección para un terreno, mallar terrenos o triangular una nube de puntos. Dibujar clotoides, parabolas, acuerdos verticales parabolicos, catenarias, curvas de transicion con clotoides y acuerdos horizontales circulares.
InnerSoft STATS - Methods and formulas help
The document defines several statistical formulas for calculating measures such as mean, variance, skewness, and kurtosis from sample data. It also provides formulas for statistical tests like chi-square, Fisher's exact test, McNemar's test, and odds ratios. Sources are cited for each formula, typically a Wikipedia page on the given statistical measure or test.
InnerSoft STATS - Introduction
This document provides an introduction and overview of the statistical software InnerSoft STATS. It describes the software's installation process, licensing and activation procedures. It also outlines the main program windows including the project manager, worksheet and output windows. Finally, it provides guidance on working within these windows, such as opening and saving files, setting project properties, and entering and analyzing data. The document is intended to help new users understand the basic functionality and navigation of the InnerSoft STATS interface.
InnerSoft STATS - Graphs
This document provides an overview of the different graph types and options available in the InnerSoft STATS software. It describes 7 main sections of the graphs menu, including general settings, grouping cases, categorical-quantitative graphs, two categorical variables, graph sequences, candlestick/point and figure/stock graphs, and scatter plots. For each section, it lists the available graph types and statistical options. It also provides brief descriptions and settings for specific graph types like Kagi, Renko, candlestick, and point and figure charts.
InnerSoft STATS - Analyze
This document provides an overview and instructions for using the InnerSoft STATS software to analyze data. It describes 15 different analysis procedures that can be accessed from the software's Analyze Menu, including frequency tables, descriptive statistics, crosstabs, hypothesis tests, ANOVA, correlation, regression, and time series analysis. For each analysis procedure, it provides a brief overview and descriptions of the input options and statistical tests that can be selected. The document is intended to help users understand what types of analyses can be performed and how to set up and interpret the results.
Manual InnerSoft STATS
This document provides an overview and instructions for using the InnerSoft STATS statistical analysis software. It covers installation, activation, working in the main windows, and descriptive and inferential statistical tests available in the software. The document recommends limiting the number of columns when working with large datasets to avoid memory issues. It also notes that the software works best for datasets with millions of values rather than for scientific applications requiring very large or small numbers.
Ingeniería de caminos rurales
Este documento presenta una guía de campo para las mejores prácticas de gestión de caminos rurales. La guía cubre temas como la planificación, diseño, construcción y mantenimiento de caminos rurales de manera de minimizar los impactos ambientales negativos. Incluye información sobre normas de diseño, hidrología, drenaje, estabilidad de taludes, materiales y control de erosión para construir caminos rurales de manera duradera y respetuosa con el medio ambiente.
InnerSoft CAD Manual
InnerSoft CAD is a plug-in for AutoCAD that installs a set of productivity tools for Civil and Survey engineering, Counting, Estimating and measurements in construction project budgets. You can:
Export to an Excel Sheet the values of Area/Length property or coordinates for various AutoCAD entities.
Import from an Excel Sheet the vertex coordinates for a set of 2D polylines or 3D polylines (you can choose between 3 different methods). You can also import a set of points from Excel or a set of Texts with an insertion point for each one.
Extract all block definitions of a drawing in individual AutoCAD files (each block definition in a single file).
Sum the area or length property of a set of objects. Sum accumulated distance of a user defined walk in the drawing.
Draw the longitudinal profile of a set of entities from a user defined axis. Triangulate a set of points or mesh a model surface.
Take measurements on AutoCAD for construction project budgets.
Create, open or save different libraries, which contain a series of AutoCAD drawings (*.dxf or *.dwg) organized by books.
http://innersoft.itspanish.org/en/index.htm
Norma 3.1 ic. trazado, de la instrucción de carreteras
Este documento resume dos órdenes ministeriales que modifican normas sobre el trazado de carreteras en España. La primera orden modifica la Norma 3.1-IC Trazado de 1999 para considerar de forma más específica las carreteras urbanas y circunstancias especiales. La segunda orden modifica la regulación de accesos a carreteras para ajustar las conexiones con carreteras autonómicas y provinciales.
Manual de InnerSoft CAD en español
InnerSoft CAD es un programa para la elaboración de mediciones para proyectos de construcción en el entorno AutoCAD, la ayuda en tareas de topografía y la exportación / importación de datos de objetos entre AutoCAD y MS Excel. Con este programa usted podrá:
Realizar mediciones en AutoCAD y ordenarlas según Capítulos y Partidas previamente a su exportación a Excel o exportación en formato XML.
Crear listados de dibujos *.dxf y *.dwg presentes en el ordenador para su gestión.
Extraer todos los bloques de un dibujo en archivos individuales de AutoCAD (cada definición de bloque en un único archivo *.dwg).
Exportar a una tabla de Excel el área, longitud, volumen o coordenadas (además de otras) de tantos objetos de AutoCAD como elija en pantalla.
Importar desde Excel, según diferentes métodos, las coordenadas de una nube de puntos o bien el listado de vértices de un conjunto de polilíneas o polilíneas-3D. También dispone de un modulo para la importación de textos, según puntos de inserción para cada texto.
Consultar en pantalla la suma total del área o longitud de distintas entidades de AutoCAD, además de la longitud total de un camino trazado por puntos sobre el dibujo.
Hallar el perfil longitudinal o sección para un terreno, mallar terrenos o triangular una nube de puntos.
http://innersoft.itspanish.org/es/index.htm
More from InnerSoft (10)
Norma 3.1 ic. trazado, de la instrucción de carreteras
Norma 3.1 ic. trazado, de la instrucción de carreteras
Recently uploaded
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
How to Make a Field Mandatory in Odoo 17
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar KanvariaThe simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
How to Add Chatter in the odoo 17 ERP Module
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama UniversityAkanksha trivedi rama nursing college kanpur.
Natural birth techniques are various type such as/ water birth , alexender method, hypnosis, bradley method, lamaze method etcCommunity pharmacy- Social and preventive pharmacy UNIT 5
Covered community pharmacy topic of the subject Social and preventive pharmacy for Diploma and Bachelor of pharmacy
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
How to Build a Module in Odoo 17 Using the Scaffold Method
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Advanced Java[Extra Concepts, Not Difficult].docx
This is part 2 of my Java Learning Journey. This contains Hashing, ArrayList, LinkedList, Date and Time Classes, Calendar Class and more.
The History of Stoke Newington Street Names
Presented at the Stoke Newington Literary Festival on 9th June 2024
www.StokeNewingtonHistory.com
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Digital Artifact 1 - 10VCD Environments Unit
Digital Artifact 1 - 10VCD Environments Unit - NGV Pavilion Concept Design
Recently uploaded (20)
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Liberal Approach to the Study of Indian Politics.pdf
Liberal Approach to the Study of Indian Politics.pdf
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Natural birth techniques - Mrs.Akanksha Trivedi Rama University
Community pharmacy- Social and preventive pharmacy UNIT 5
Community pharmacy- Social and preventive pharmacy UNIT 5
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
InnerSoft STATS - Index
- 1. InnerSoft STATS Index of Application Manual http://isstats.itspanish.org/
- 2. INDEX InnerSoft STATS INTRODUCTION • Installation and Activation o Installation o Trial Version o Activation o License Upgrades License Renewal • Introduction to ISSTATS o Open and Save files o Technical Limitations and Recommendations • Working in the Main window o File Menu o Analyze Menu o Graphs Menu o Help Menu • Working in the Project Manager window o Root o Settings o Variables • Working in the Worksheet window o File Menu o Edit Menu o Options Menu o View Labels • Working in the Output window ANALYZE MENU • Frequency Tables • Descriptive Statistics • Crosstabs • One Sample Test o Z Test o T Test o Variance Test • Two-Sample Test o 2-Sample t-Test o Paired t-Test o 2 Variances F-Test • One-Way ANOVA • Homoscedasticity Tests • Bivariate Correlation Tests • Parametric Value at Risk • Exponentially Weighted Moving Average (EWMA) Forecast • Financial Formulas 2 • Linear Regression
- 3. INDEX InnerSoft STATS GRAPHS MENU • General Settings • Group of Cases • Categorical-Quantitative • Two Categorical • Graph Sequences • Candlestick/Point and Figure/Stock Graph • Scatter Plot Methods and Formulas Help 3 • Curve Estimation • Create Time Series • Univariate GARCH(1,1)
- 4. INDEX InnerSoft STATS © Copyright InnerSoft 2017. All rights reserved. Los hijos perdidos del Sinclair ZX Spectrum 128K (RANDOMIZE USR 123456) innersoft@itspanish.org innersoft@gmail.com http://isstats.itspanish.org/ 4