Cursus JMP
Cursusprogramma JMP 2012:
Onderstaand wordt per cursus aangegeven wat er wordt besproken.
JMP Software: Data Exploration
JMP: Introduction to Statistics
JMP Software: ANOVA and Regression
JMP Software: Classic Design of Experiments
Introduction to the JMP Scripting Language
Elke cursus heeft de duur van 1 dag en kan op locatie worden gegeven.
Maximum aantal deelnemers per cursus is 8. Cursusdata in overleg.
Vraag ons naar de prijzen per cursus en mogelijkheden.
JMP Software: Data Exploration
This course is designed as the first step for those who want to use JMP to manage, analyze, and explore data.
Learn how to
•navigate the JMP interface
•manage data effectively in JMP
•explore data by using JMP software's extensive graphical capabilities
•create and manage reports in JMP.
CONTENTS:
Introduction
•introducing JMP features
•exploring user-assistance options
•accessing data and opening different types of files in JMP
•understanding modeling types
•introducing the Table panel, Columns panel, and Rows panel
•creating a JMP journal
Data Exploration and Manipulation
•using the Columns and Rows menus
•creating new columns
•creating new tables
•using the Tabulate option to create summary tables
Graphical Data Exploration
•exploring relationships between continuous columns
•using the Graph Builder
•mapping with the Graph Builder
•exploring relationships between categorical data columns
•using recursive partitioning for exploratory analysis
Reporting and Presenting Results
•modifying a journal
•using a journal for presentations
•saving and sharing results
JMP: Introduction to Statistics
Creating, Importing and Exporting Files with JMP
• Creating a JMP data table
• Importing an Excel file into JMP
• Exporting a JMP file into Excel
Graphical Display of Categorical Data
• Bar Chart
• Pie Chart
• Pareto Chart
Graphical Display of Quantitative Data
• Histogram and Box Plot
• Stem and Leaf Plot
• Side-by-Side Box Plots
• Normal Probability Plot and Goodness of Fit Test
• Time Plot
Numerical Summaries of Quantitative Data
• Calculating Summary Statistics of Quantitative Data
• Correlation and Regression
• Scatterplot
• Correlation
• Least-Squares Regression Line, Residuals Plot and Histogram of Residuals
• Inference about Regression Coefficients
• Confidence Intervals and Prediction Intervals for Regression Response
Transformations of Variables - Examples
• Log Transformation
• Negative Reciprocal Square Root
• Inference About a Population Proportion
Confidence Interval and Hypothesis Testing for a Population Proportion
• T-Tests (Confidence Intervals and Hypothesis Testing)
• One-sample t Test
• Matched Pair t Procedure
• Two-Sample t Procedure (assuming unequal population variances)
• Test of Independence for Two Categorical Variables
Miscellaneous Topics
• Excluding Data from an Analysis
• Getting JMP Graphics into Microsoft Word
• Taking a Simple Random Sample
• Getting Multiple Histograms on the Same Scale
• Forcing Categorical Data to Display in a Specific Order
• Using Different Symbols for Different Groups in Graphical Displays
JMP Software: ANOVA and Regression
This course teaches how to analyze data with a single continuous response variable using analysis of variance and regression methods. You learn how to perform elementary exploratory data analysis (EDA) and discover natural patterns in data. Important statistical concepts such as confidence intervals are also introduced.
Learn how to use JMP software to
•compare two means using a t-test
•generate and interpret an analysis of variance to compare more than two means
•analyze relationships between continuous variables using linear regression models
•perform an analysis of covariance to incorporate continuous and categorical predictors
•evaluate assumptions in statistical hypothesis testing.
CONTENTS:
Introduction to Statistics
•reviewing populations and samples
•exploring data with descriptive statistics and graphs
•generating and understanding confidence intervals
•understanding statistical hypothesis tests
Comparing Means
•analyzing a one-sample t-test
•analyzing paired data
•comparing two independent groups using a t-test
Analysis of Variance
•fitting one-way ANOVA models
•fitting one-way ANOVA models with multiple levels
•performing multiple comparisons
•examining ANOVA assumptions
•fitting N-way ANOVA models
•analyzing power and sample size
Simple Linear Regression
•using scatterplots and correlation statistics
•performing simple linear regression
•fitting polynomial regression models
Multiple Regression
•performing multiple regression
•performing multiple regression with interactions
•performing stepwise regression
Regression Diagnostics
•examining model assumptions
•discovering multivariate outliers
•investigating collinearity
Analysis of Covariance
•fitting ANCOVA models with and without interactions
JMP Software: Classic Design of Experiments
This course teaches you how to design and analyze experiments in JMP to find the vital few factors or optimize the process response. The course emphasizes the principles of experimental design while also demonstrating screening designs and response designs.
Learn how to
•explain the fundamental principles of designed experiments
•generate and analyze full factorial, fractional factorial, split-plot, and screening designs, including designs with blocking factors
•create and analyze classic response surface designs
•use the custom design tool.
CONTENTS:
Introduction to Design of Experiments
•review of basic statistical concepts
•introduction to experimental design
•completely randomized designs
Multiple Factor Designs and Blocking
•randomized complete block designs
•randomized incomplete block designs
•full factorial designs
•2k factorial designs
•split-plot designs
Screening Designs
•fractional factorial designs
•blocking with screening designs
Response Surface Methodology
•concepts and terms
•classic response surface designs for second-order models
•steepest ascent method
Custom Designs
•custom design generation
•custom response surface designs
Introduction to the JMP Scripting Language
This course demonstrates how to extend JMP software's functionality using the JMP Scripting Language (JSL) to automate routine procedures, extend or create new procedures, and customize reports.
Learn how to
•use the basic elements in JSL
•use messages, functions, and expressions to create new data tables and columns, control analyses, and capture or modify reports
•create and use dialogs to adapt script behavior
•save JMP scripts as custom menu or toolbar items to automate routine analyses and reporting.
Scripting Concepts
•introducing scripting
•introducing object-oriented approach
•reviewing how to generate scripts interactively
•storing scripts in the Table panel
JSL Building Blocks
•understanding operators, numbers, and names
•understanding lists and expressions
•understanding comments, commas, parentheses, quoted strings, and matrices
•introducing a visual JSL style to make reading, interpreting, and understanding JSL easy
Functions
•using the For, While, Break, and Continue functions
•using the If, Match, and Choose functions
Data Table Scripts
•creating new tables and columns
•changing or adding column properties
•using basic matrix functions in JSL
Platform Scripts
•understanding platform layers (analysis and report)
•reporting display tree structure
•building custom windows
Dialogs, List, and Custom Menu Items
•making and using custom dialogs
•understanding substitution in expressions, lists, and strings
•adding a custom menu item