A Brief Introduction to JMP 10 Tim Bruce 16 October 2014.

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Presentation transcript:

A Brief Introduction to JMP 10 Tim Bruce 16 October 2014

What is JMP Statistical software developed by SAS Institute in 1980s Originally released in 1989 Easy-to-use interface with drop-down menus Recommended for usage in some statistics courses at SDSU (i.e. STAT 545)

JMP Applications Descriptive Statistics Advanced Data Analysis (ANOVA, Regression) Graphing Module Modeling, Reliability, Survival, QC Design of Experiments Module

Study Design: CRD Subjects randomly assigned to treatments; simple design Relies on randomization to control extraneous factors/nuisance variables Application: homogeneous conditions (lab, growth chamber, etc.), some experimental units may fail to respond or be destroyed, small experiments with small df

Study Design: Blocking Experimental units are grouped into blocks according to known or suspected variation which is isolated by the blocks Similar experimental conditions within blocks and potential differences outside of blocks Application: Extraneous variation (disturbing factors) is expected and blocking is used to increase precision

Study Design: Large Data Sets JMP can connect to databases and servers (File->Internet Open) Data Cleanup- Standardize Column Attributes ( Data Cleanup- Standardize Column Attributes (Cols->Standardize Attributes ) Link Datasets together ( Link Datasets together (Tables->Concatenate, Tables- >Join)

Interface

Importing Data Sets

Organizing Data in JMP Spreadsheet

Preliminary Data Analysis Analyze->Distribution

Preliminary Data Analysis

S-W Normality Testing (ANOVA Assumption)

Variance Testing (ANOVA Assumption)

One-Way ANOVA

Parametric Post-Hoc Testing

Nonparametric Testing (Wilcoxon or K-W Test) *From JMP website: support/help/Nonparametric.shtml

Nonparametric Post- Hoc Testing

Linear Regression in JMP

Graph Builder in JMP

Design of Experiment Module

Pros and Cons of JMP Pros: Easy to navigate, Drop-down menus, Complete data analysis set, Graph building software, No coding required Cons: Not as simple to customize your analyses, No package add-ons, Fee for usage Pricing: 30 Day trial available on the JMP website, 6- month license for $29.95 and 12-month for $49.95