JMP - ANOVA and Regression

Course: Regression Analysis with GraphPad Prism – Advanced Course for Experienced Users In this 2-day advanced course, you will expand your knowledge of regression analysis with GraphPad Prism. The course focuses on linear and nonlinear regression techniques used in the analysis of biological and medical data. You will learn how to analyze and interpret dose-response curves, enzyme kinetics, and model comparisons using GraphPad Prism. The course provides in-depth knowledge of residual analysis, least squares method, model fitting, and global fitting. Course Content: 📊 Statistical Foundations of Regression – Introduction to linear and nonlinear models 📊 Mastering the Prism Interface – Conducting regression projects (data entry and import) 📊 Linear Regression – Performing and interpreting simple linear regression models 📊 Nonlinear Regression – Applying and fitting nonlinear models in Prism 📊 Data Visualization – Visualizing regression data in GraphPad Prism 📊 Graphs and Charts – Creating and interpreting regression graphs 📊 Statistical Metrics – Interpreting regression statistics and results for your analysis Prerequisites: 📌 Basic knowledge of GraphPad Prism 📌 Statistical knowledge in regression is helpful but not required 🕒 Course Duration: 2 days 🔹 Sign up now and enhance your skills in regression analysis with GraphPad Prism!

Course: Comparative Means with GraphPad Prism – Advanced Course for Experienced Users In this two-day advanced course, you will expand your knowledge of GraphPad Prism and learn the advanced methods for comparing means. The course focuses on the statistical methods implemented in GraphPad Prism such as t-tests, ANOVA, Kruskal-Wallis, normal distribution, and post-tests. You will learn how to apply these methods, interpret them, and use them on your own data. The course provides detailed knowledge on paired and unpaired test methods as well as homogeneity of variance. This course builds on the content from the GraphPad Prism introductory course. It is essential that you are familiar with the software basics, which you can gain by attending the "GraphPad Prism – Introduction" course. Basic statistical knowledge in mean comparison will also be provided. Course contents: 📊 Statistical foundations of mean comparisons 📊 Confident handling of the Prism interface – mean comparison projects (data input and import) 📊 Performing “Column” projects 📊 One Sample T-Test 📊 T-Test and One-Way ANOVA for independent and paired samples 📊 Non-parametric tests for independent and paired samples 📊 Post-tests after mean comparisons 📊 Performing “Grouped” projects 📊 Two-Way ANOVA for independent and paired samples 📊 Post-tests for Two-Way ANOVA 📊 Confident use of graph types and graph design for mean comparisons 📊 Interpretation of statistical metrics and summarizing results in layouts Prerequisites: 📌 This course builds on the "Introduction to Data Analysis with GraphPad Prism" course. 📌 Basic knowledge of operating GraphPad Prism and fundamental statistical knowledge are required. 🕒 Course duration: 2 days 🔹 Sign up now and deepen your skills in mean analysis with GraphPad Prism!

Course: Introduction to JMP – Graphical Data Analysis and Exploratory Data Analysis (EDA) In this one-day course, you will be introduced to JMP, the powerful software for graphical data analysis. You will learn how to conduct exploratory data analysis (EDA) and identify patterns in your data. The course will teach you not only how to navigate the JMP interface, with its menus, dialogs, and reports, but also techniques for data management such as importing, exporting, and transposing data. You will also learn how to create and interpret descriptive statistics and present your results visually. Course Content: 📊 Data Import – Importing data from various sources into JMP 📊 Software Navigation – Efficient use of the interface, menus, and reports 📊 Data Management – Working with column and row menus, transposing and organizing data 📊 Descriptive Statistics – Creating and interpreting basic statistical metrics 📊 Graphical Data Analysis – Performing EDA techniques for pattern recognition in data 📊 Result Presentation – Exporting analysis results and creating reports Prerequisites: 📌 No prior knowledge required 🕒 Course Duration: 1 Day 🔹 Register now and begin your journey into the world of data analysis with JMP!

Minitab is a powerful statistical software for statistical analysis of data e.g. in research and quality management. Using an interactive wizard, the program offers a comprehensive range of statistical methods and graphical tools allowing to perform safely and successfully the steps of an analysis. Therefore, it is useful for industry, research, development and teaching.The system environment facilitates the steps from data import to 2D and 3D data visualization up to data exploration and analytical statistics. The project management, reporting and documentation of the results are logical and flexible to handle.Minitab is used worldwide for the implementation of Six Sigma projects and provides standard statistical methods, ANOVA, regression, quality tools, quality control charts, life cycle and reliability analysis, measurement system analysis, process capability analysis, design of experiments (DoE), excellent graphs and much more.Minitab shows an extreme adaptability, supported both by the integrated programming language allowing to automate processes and by the option to compile menus individually. Thus, it is not only possible to define company-wide standards, but also to adapt Minitab to the company's needs, giving the users only those analysis at hand which is actually needed.Arguments for Minitab:Minitab offers a comprehensive range of statistical methods and graphical toolsMinitab supports you in all phases of a Sig Sigma processMinitab is very adaptable and programmable Minitab - The 'All-In-One' Statistical and Graphical Analysis Software PackageMinitab is one of the leading providers of statistical software and services for quality management, education and research.Minitab provides precise but easy to use functions for quality management and general statistics. Minitab is used by plenty of leading companies like General Electric, Ford Motor Company, General Motors, 3M, Honeywell International, LG, Toshiba, Nokia and many leading Six Sigma consultants.As an introduction to statistics, Minitab is also established in more than 4.000 technical schools and universities. Minitab's head office is located in State College, PA, USA and has branch offices in the UK, France and business partners across the whole world.Interactive Assistant for smooth AnalysisMinitab gives you the confidence you need to improve quality, with features like an interactive assistant that guides you through your analysis. It is specifically designed to help you succeed at every step of your analysis. Once you've chosen the right tool, the assistant identifies all the steps you should take to ensure the results of your analysis are accurate and trustworthy.Step by Step GuidanceAn interactive decision tree leads you to the right statistical tool by posing a series of questions you need to answer, such as the type of data you're working with and the objective of your analysis. When you face a question you can't answer, the assistant provides the information you need to respond correctly, such as the definitions of important terms and illustrated examples that help you understand how the question relates to your own data.Dialogs helps you running analysis quick and easyThe assistant's dialogs are simple to complete. Steps have been streamlined and the text that accompanies the input fields is accessible and direct. Fields will even dynamically change based on your input.Interpret your results with confidenceSummary reports help you draw the correct conclusions and explain why. They illustrate the answers to important questions, and include comments that give your analysis context and meaning.Diagnostic reportDiagnostic reports help you further understand your analysis by providing additional detail, such as outliers you should explore and the chance of detecting a significant difference.Report cardReport cards verify your analysis by providing assumption checks and identifying any concerns you should be aware of, such as unusual data points and issues with normality and sample size.Start using the software immediately!Minitab's interface is intuitive and easy to use.An extensive selection of statistical methodsBasic statisticsAccess a complete set of statistical tools, including descriptive statistics, hypothesis tests, confidence Intervals and normality tests.Regression and ANOVAUncover the relationships between variables and identify important factors affecting the quality of your products and services.Quality toolsDetermine if your measurement systems are adequate, assess how well your processes meet specification limits, create sampling plans, and more.Design of Experiments (DoE)Find the settings that optimize your processes using factorial, response surface, mixture and Taguchi designs.Control chartsMonitor your processes over time and evaluate their stability.Reliability and survivalDetermine a product's lifetime characteristics using a wide range of tools including distribution analysis and accelerated life testing.Dig Deeper into your DataMinitab graphs are powerful tools for investigating your process further and removing any doubt about the steps you should take to improve it.Automatically update your graphs and control charts when you add or edit data.Select and examine points of interest, then use them to create alternate data sets and graphs.Share your ResultsSharing your findings with colleagues is easy. Minitab's assistant automatically produces a comprehensive, straightforward summary of your analysis that includes relevant graphs and output, and how to interpret them. And there is more, Minitab's rich graphs are the building blocks of an engaging and professional presentation. They are simple to edit, and you can export them directly to MS Word and PowerPoint. Further InformationMinitab Homepage

Course: Regression Analysis with GraphPad Prism – Advanced Course for Experienced Users In this 2-day advanced course, you will expand your knowledge of regression analysis with GraphPad Prism. The course focuses on linear and nonlinear regression techniques used in the analysis of biological and medical data. You will learn how to analyze and interpret dose-response curves, enzyme kinetics, and model comparisons using GraphPad Prism. The course provides in-depth knowledge of residual analysis, least squares method, model fitting, and global fitting. Course Content: 📊 Statistical Foundations of Regression – Introduction to linear and nonlinear models 📊 Mastering the Prism Interface – Conducting regression projects (data entry and import) 📊 Linear Regression – Performing and interpreting simple linear regression models 📊 Nonlinear Regression – Applying and fitting nonlinear models in Prism 📊 Data Visualization – Visualizing regression data in GraphPad Prism 📊 Graphs and Charts – Creating and interpreting regression graphs 📊 Statistical Metrics – Interpreting regression statistics and results for your analysis Prerequisites: 📌 Basic knowledge of GraphPad Prism 📌 Statistical knowledge in regression is helpful but not required 🕒 Course Duration: 2 days 🔹 Sign up now and enhance your skills in regression analysis with GraphPad Prism!

Course: Comparative Means with GraphPad Prism – Advanced Course for Experienced Users In this two-day advanced course, you will expand your knowledge of GraphPad Prism and learn the advanced methods for comparing means. The course focuses on the statistical methods implemented in GraphPad Prism such as t-tests, ANOVA, Kruskal-Wallis, normal distribution, and post-tests. You will learn how to apply these methods, interpret them, and use them on your own data. The course provides detailed knowledge on paired and unpaired test methods as well as homogeneity of variance. This course builds on the content from the GraphPad Prism introductory course. It is essential that you are familiar with the software basics, which you can gain by attending the "GraphPad Prism – Introduction" course. Basic statistical knowledge in mean comparison will also be provided. Course contents: 📊 Statistical foundations of mean comparisons 📊 Confident handling of the Prism interface – mean comparison projects (data input and import) 📊 Performing “Column” projects 📊 One Sample T-Test 📊 T-Test and One-Way ANOVA for independent and paired samples 📊 Non-parametric tests for independent and paired samples 📊 Post-tests after mean comparisons 📊 Performing “Grouped” projects 📊 Two-Way ANOVA for independent and paired samples 📊 Post-tests for Two-Way ANOVA 📊 Confident use of graph types and graph design for mean comparisons 📊 Interpretation of statistical metrics and summarizing results in layouts Prerequisites: 📌 This course builds on the "Introduction to Data Analysis with GraphPad Prism" course. 📌 Basic knowledge of operating GraphPad Prism and fundamental statistical knowledge are required. 🕒 Course duration: 2 days 🔹 Sign up now and deepen your skills in mean analysis with GraphPad Prism!

Course: Introduction to JMP – Graphical Data Analysis and Exploratory Data Analysis (EDA) In this one-day course, you will be introduced to JMP, the powerful software for graphical data analysis. You will learn how to conduct exploratory data analysis (EDA) and identify patterns in your data. The course will teach you not only how to navigate the JMP interface, with its menus, dialogs, and reports, but also techniques for data management such as importing, exporting, and transposing data. You will also learn how to create and interpret descriptive statistics and present your results visually. Course Content: 📊 Data Import – Importing data from various sources into JMP 📊 Software Navigation – Efficient use of the interface, menus, and reports 📊 Data Management – Working with column and row menus, transposing and organizing data 📊 Descriptive Statistics – Creating and interpreting basic statistical metrics 📊 Graphical Data Analysis – Performing EDA techniques for pattern recognition in data 📊 Result Presentation – Exporting analysis results and creating reports Prerequisites: 📌 No prior knowledge required 🕒 Course Duration: 1 Day 🔹 Register now and begin your journey into the world of data analysis with JMP!

Minitab is a powerful statistical software for statistical analysis of data e.g. in research and quality management. Using an interactive wizard, the program offers a comprehensive range of statistical methods and graphical tools allowing to perform safely and successfully the steps of an analysis. Therefore, it is useful for industry, research, development and teaching.The system environment facilitates the steps from data import to 2D and 3D data visualization up to data exploration and analytical statistics. The project management, reporting and documentation of the results are logical and flexible to handle.Minitab is used worldwide for the implementation of Six Sigma projects and provides standard statistical methods, ANOVA, regression, quality tools, quality control charts, life cycle and reliability analysis, measurement system analysis, process capability analysis, design of experiments (DoE), excellent graphs and much more.Minitab shows an extreme adaptability, supported both by the integrated programming language allowing to automate processes and by the option to compile menus individually. Thus, it is not only possible to define company-wide standards, but also to adapt Minitab to the company's needs, giving the users only those analysis at hand which is actually needed.Arguments for Minitab:Minitab offers a comprehensive range of statistical methods and graphical toolsMinitab supports you in all phases of a Sig Sigma processMinitab is very adaptable and programmable Minitab - The 'All-In-One' Statistical and Graphical Analysis Software PackageMinitab is one of the leading providers of statistical software and services for quality management, education and research.Minitab provides precise but easy to use functions for quality management and general statistics. Minitab is used by plenty of leading companies like General Electric, Ford Motor Company, General Motors, 3M, Honeywell International, LG, Toshiba, Nokia and many leading Six Sigma consultants.As an introduction to statistics, Minitab is also established in more than 4.000 technical schools and universities. Minitab's head office is located in State College, PA, USA and has branch offices in the UK, France and business partners across the whole world.Interactive Assistant for smooth AnalysisMinitab gives you the confidence you need to improve quality, with features like an interactive assistant that guides you through your analysis. It is specifically designed to help you succeed at every step of your analysis. Once you've chosen the right tool, the assistant identifies all the steps you should take to ensure the results of your analysis are accurate and trustworthy.Step by Step GuidanceAn interactive decision tree leads you to the right statistical tool by posing a series of questions you need to answer, such as the type of data you're working with and the objective of your analysis. When you face a question you can't answer, the assistant provides the information you need to respond correctly, such as the definitions of important terms and illustrated examples that help you understand how the question relates to your own data.Dialogs helps you running analysis quick and easyThe assistant's dialogs are simple to complete. Steps have been streamlined and the text that accompanies the input fields is accessible and direct. Fields will even dynamically change based on your input.Interpret your results with confidenceSummary reports help you draw the correct conclusions and explain why. They illustrate the answers to important questions, and include comments that give your analysis context and meaning.Diagnostic reportDiagnostic reports help you further understand your analysis by providing additional detail, such as outliers you should explore and the chance of detecting a significant difference.Report cardReport cards verify your analysis by providing assumption checks and identifying any concerns you should be aware of, such as unusual data points and issues with normality and sample size.Start using the software immediately!Minitab's interface is intuitive and easy to use.An extensive selection of statistical methodsBasic statisticsAccess a complete set of statistical tools, including descriptive statistics, hypothesis tests, confidence Intervals and normality tests.Regression and ANOVAUncover the relationships between variables and identify important factors affecting the quality of your products and services.Quality toolsDetermine if your measurement systems are adequate, assess how well your processes meet specification limits, create sampling plans, and more.Design of Experiments (DoE)Find the settings that optimize your processes using factorial, response surface, mixture and Taguchi designs.Control chartsMonitor your processes over time and evaluate their stability.Reliability and survivalDetermine a product's lifetime characteristics using a wide range of tools including distribution analysis and accelerated life testing.Dig Deeper into your DataMinitab graphs are powerful tools for investigating your process further and removing any doubt about the steps you should take to improve it.Automatically update your graphs and control charts when you add or edit data.Select and examine points of interest, then use them to create alternate data sets and graphs.Share your ResultsSharing your findings with colleagues is easy. Minitab's assistant automatically produces a comprehensive, straightforward summary of your analysis that includes relevant graphs and output, and how to interpret them. And there is more, Minitab's rich graphs are the building blocks of an engaging and professional presentation. They are simple to edit, and you can export them directly to MS Word and PowerPoint. Further InformationMinitab Homepage

Course: Regression Analysis with GraphPad Prism – Advanced Course for Experienced Users In this 2-day advanced course, you will expand your knowledge of regression analysis with GraphPad Prism. The course focuses on linear and nonlinear regression techniques used in the analysis of biological and medical data. You will learn how to analyze and interpret dose-response curves, enzyme kinetics, and model comparisons using GraphPad Prism. The course provides in-depth knowledge of residual analysis, least squares method, model fitting, and global fitting. Course Content: 📊 Statistical Foundations of Regression – Introduction to linear and nonlinear models 📊 Mastering the Prism Interface – Conducting regression projects (data entry and import) 📊 Linear Regression – Performing and interpreting simple linear regression models 📊 Nonlinear Regression – Applying and fitting nonlinear models in Prism 📊 Data Visualization – Visualizing regression data in GraphPad Prism 📊 Graphs and Charts – Creating and interpreting regression graphs 📊 Statistical Metrics – Interpreting regression statistics and results for your analysis Prerequisites: 📌 Basic knowledge of GraphPad Prism 📌 Statistical knowledge in regression is helpful but not required 🕒 Course Duration: 2 days 🔹 Sign up now and enhance your skills in regression analysis with GraphPad Prism!

Course: Comparative Means with GraphPad Prism – Advanced Course for Experienced Users In this two-day advanced course, you will expand your knowledge of GraphPad Prism and learn the advanced methods for comparing means. The course focuses on the statistical methods implemented in GraphPad Prism such as t-tests, ANOVA, Kruskal-Wallis, normal distribution, and post-tests. You will learn how to apply these methods, interpret them, and use them on your own data. The course provides detailed knowledge on paired and unpaired test methods as well as homogeneity of variance. This course builds on the content from the GraphPad Prism introductory course. It is essential that you are familiar with the software basics, which you can gain by attending the "GraphPad Prism – Introduction" course. Basic statistical knowledge in mean comparison will also be provided. Course contents: 📊 Statistical foundations of mean comparisons 📊 Confident handling of the Prism interface – mean comparison projects (data input and import) 📊 Performing “Column” projects 📊 One Sample T-Test 📊 T-Test and One-Way ANOVA for independent and paired samples 📊 Non-parametric tests for independent and paired samples 📊 Post-tests after mean comparisons 📊 Performing “Grouped” projects 📊 Two-Way ANOVA for independent and paired samples 📊 Post-tests for Two-Way ANOVA 📊 Confident use of graph types and graph design for mean comparisons 📊 Interpretation of statistical metrics and summarizing results in layouts Prerequisites: 📌 This course builds on the "Introduction to Data Analysis with GraphPad Prism" course. 📌 Basic knowledge of operating GraphPad Prism and fundamental statistical knowledge are required. 🕒 Course duration: 2 days 🔹 Sign up now and deepen your skills in mean analysis with GraphPad Prism!

Course: Introduction to JMP – Graphical Data Analysis and Exploratory Data Analysis (EDA) In this one-day course, you will be introduced to JMP, the powerful software for graphical data analysis. You will learn how to conduct exploratory data analysis (EDA) and identify patterns in your data. The course will teach you not only how to navigate the JMP interface, with its menus, dialogs, and reports, but also techniques for data management such as importing, exporting, and transposing data. You will also learn how to create and interpret descriptive statistics and present your results visually. Course Content: 📊 Data Import – Importing data from various sources into JMP 📊 Software Navigation – Efficient use of the interface, menus, and reports 📊 Data Management – Working with column and row menus, transposing and organizing data 📊 Descriptive Statistics – Creating and interpreting basic statistical metrics 📊 Graphical Data Analysis – Performing EDA techniques for pattern recognition in data 📊 Result Presentation – Exporting analysis results and creating reports Prerequisites: 📌 No prior knowledge required 🕒 Course Duration: 1 Day 🔹 Register now and begin your journey into the world of data analysis with JMP!

Minitab is a powerful statistical software for statistical analysis of data e.g. in research and quality management. Using an interactive wizard, the program offers a comprehensive range of statistical methods and graphical tools allowing to perform safely and successfully the steps of an analysis. Therefore, it is useful for industry, research, development and teaching.The system environment facilitates the steps from data import to 2D and 3D data visualization up to data exploration and analytical statistics. The project management, reporting and documentation of the results are logical and flexible to handle.Minitab is used worldwide for the implementation of Six Sigma projects and provides standard statistical methods, ANOVA, regression, quality tools, quality control charts, life cycle and reliability analysis, measurement system analysis, process capability analysis, design of experiments (DoE), excellent graphs and much more.Minitab shows an extreme adaptability, supported both by the integrated programming language allowing to automate processes and by the option to compile menus individually. Thus, it is not only possible to define company-wide standards, but also to adapt Minitab to the company's needs, giving the users only those analysis at hand which is actually needed.Arguments for Minitab:Minitab offers a comprehensive range of statistical methods and graphical toolsMinitab supports you in all phases of a Sig Sigma processMinitab is very adaptable and programmable Minitab - The 'All-In-One' Statistical and Graphical Analysis Software PackageMinitab is one of the leading providers of statistical software and services for quality management, education and research.Minitab provides precise but easy to use functions for quality management and general statistics. Minitab is used by plenty of leading companies like General Electric, Ford Motor Company, General Motors, 3M, Honeywell International, LG, Toshiba, Nokia and many leading Six Sigma consultants.As an introduction to statistics, Minitab is also established in more than 4.000 technical schools and universities. Minitab's head office is located in State College, PA, USA and has branch offices in the UK, France and business partners across the whole world.Interactive Assistant for smooth AnalysisMinitab gives you the confidence you need to improve quality, with features like an interactive assistant that guides you through your analysis. It is specifically designed to help you succeed at every step of your analysis. Once you've chosen the right tool, the assistant identifies all the steps you should take to ensure the results of your analysis are accurate and trustworthy.Step by Step GuidanceAn interactive decision tree leads you to the right statistical tool by posing a series of questions you need to answer, such as the type of data you're working with and the objective of your analysis. When you face a question you can't answer, the assistant provides the information you need to respond correctly, such as the definitions of important terms and illustrated examples that help you understand how the question relates to your own data.Dialogs helps you running analysis quick and easyThe assistant's dialogs are simple to complete. Steps have been streamlined and the text that accompanies the input fields is accessible and direct. Fields will even dynamically change based on your input.Interpret your results with confidenceSummary reports help you draw the correct conclusions and explain why. They illustrate the answers to important questions, and include comments that give your analysis context and meaning.Diagnostic reportDiagnostic reports help you further understand your analysis by providing additional detail, such as outliers you should explore and the chance of detecting a significant difference.Report cardReport cards verify your analysis by providing assumption checks and identifying any concerns you should be aware of, such as unusual data points and issues with normality and sample size.Start using the software immediately!Minitab's interface is intuitive and easy to use.An extensive selection of statistical methodsBasic statisticsAccess a complete set of statistical tools, including descriptive statistics, hypothesis tests, confidence Intervals and normality tests.Regression and ANOVAUncover the relationships between variables and identify important factors affecting the quality of your products and services.Quality toolsDetermine if your measurement systems are adequate, assess how well your processes meet specification limits, create sampling plans, and more.Design of Experiments (DoE)Find the settings that optimize your processes using factorial, response surface, mixture and Taguchi designs.Control chartsMonitor your processes over time and evaluate their stability.Reliability and survivalDetermine a product's lifetime characteristics using a wide range of tools including distribution analysis and accelerated life testing.Dig Deeper into your DataMinitab graphs are powerful tools for investigating your process further and removing any doubt about the steps you should take to improve it.Automatically update your graphs and control charts when you add or edit data.Select and examine points of interest, then use them to create alternate data sets and graphs.Share your ResultsSharing your findings with colleagues is easy. Minitab's assistant automatically produces a comprehensive, straightforward summary of your analysis that includes relevant graphs and output, and how to interpret them. And there is more, Minitab's rich graphs are the building blocks of an engaging and professional presentation. They are simple to edit, and you can export them directly to MS Word and PowerPoint. Further InformationMinitab Homepage