Elementary Statistics Using JMP

ISBN-10: 1599943751
ISBN-13: 9781599943756
Edition: 2007
List price: $59.95 Buy it from $0.99 Rent it from $25.89
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Description: Learn how to perform basic statistical analyses using the powerful JMP software. This reader-friendly guide bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP  More...

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Book details

List price: $59.95
Copyright year: 2007
Publisher: SAS Institute
Publication date: 4/1/2007
Binding: Paperback
Pages: 480
Size: 7.50" wide x 9.00" long x 0.75" tall
Weight: 2.090
Language: English

Learn how to perform basic statistical analyses using the powerful JMP software. This reader-friendly guide bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results. Statistical methods include: histograms, box plots, descriptive statistics, stem-and-leaf plots mosaic plots, bar charts, and treemaps t-tests and Wilcoxon tests to compare two independent or paired groups one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques Pearson and Spearman correlation coefficients regression models for lines, curves, and multiple variables residuals plots and lack-of-fit tests for regression Chi-square tests, Fisher's Exact test, and measures of association for contingency tables. Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required. Includes a free CD-ROM with the example data sets and JMP tips.

Acknowledgments
The Basics
Introduction
Purpose
Audience
What This Book Is and Isn't
How This Book Is Organized
How to Use This Book
Using JMP or JMP SE
Getting Started
JMP and Your Computer
Explaining JMP Terms
Starting JMP
Displaying a Simple Example
Getting Help
Exiting JMP
Using Data Tables
Using Data Tables
What Is a Data Table?
Creating the Speeding Ticket Data Table
Opening an Existing JMP Data Table
Importing Data
Understanding Data Tables
Working with Columns
Working with Rows
Understanding Data Type and Modeling Type
Ordering Values
Adding Value Labels
Printing a Data Table
Sorting a Data Table
Summary
Exercises
Summarizing Data
Checking Data for Errors
Using Distribution for a Continuous Variable
Using Distribution for Multiple Variables
Interacting with Distribution Results
Customizing Reports
Summaries
Exercises
Graphing Data and Printing Results
Creating Custom Bar Charts
Creating Treemaps
Printing Results
Saving Results to Journals
Summaries
Exercises
Statistical Background
Understanding Fundamental Statistical Concepts
Populations and Samples
The Normal Distribution
Parametric and Nonparametric Statistical Methods
Testing for Normality
Building a Hypothesis Test
Statistical and Practical Significance
Summaries
Exercises
Estimating the Mean
Using One Number to Estimate the Mean
Effect of Sample Size
Effect of Population Variability
The Distribution of Sample Averages
Getting Confidence Intervals for the Mean
Summaries
Exercises
Comparing Groups
Comparing Two Groups
Deciding between Independent and Paired Groups
Summarizing Data from Two Independent Groups
Summarizing Data from Paired Groups
Building Hypothesis Tests to Compare Two Groups
Performing the Two-Sample t-test
Performing the Wilcoxon Rank Sum Test
Enhancing the Two-Sample Graph
Performing the Paired-Difference t-test
Performing the Wilcoxon Signed Rank Test
Summaries
Exercises
Special Topic: Paired Data in a Single Column
Comparing More Than Two Groups
Summarizing Data from Multiple Groups
Building Hypothesis Tests to Compare More Than Two Groups
Performing a One-way Analysis of Variance
Analysis of Variance with Unequal Variances
Performing a Kruskal-Wallis Test
Enhancing JMP Graphs
Multiple Comparison Procedures
Summarizing with an Example
Summary
Exercises
Fitting Lines to Data
Correlation and Regression
Summarizing Multiple Continuous Variables
Calculating Correlation Coefficients
Performing Straight-Line Regression
Fitting a Straight Line Using JMP
Summarizing Straight-Line Regression
Fitting Curves
Regression with Two or More Independent Variables
Summaries
Exercises
Basic Regression Diagnostics
Concepts in Plotting Residuals
Creating Residuals Plots for the Energy Data
Creating Residuals Plots for the Engine Data
Using the Lack Of Fit Report
Testing the Regression Assumption for Errors
Summaries
Exercises
Special Topic: Leverage Plots
Data in Summary Tables
Creating and Analyzing Contingency Tables
Defining Contingency Tables
Summarizing Raw Data in Tables
Creating a JMP Contingency Table from an Existing Summary Table
Creating Contingency Tables for Several Variables
Performing Tests for Independence
Measures of Association with Ordinal Variables
Summaries
Exercises
Special Topic: Statistical Summary Tables
Further Reading
Statistics References
JMP Documentation
Index

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