JMP Start Statistics
SASInstitute(Author)
Duxbury Press
2nd Edition
Published on 13. July 2000
Book
Paperback/Softback
520 pages
978-0-534-35967-6 (ISBN)
Description
This handbook explains JMP-IN software and its approach to modern statistical analysis. JMP-IN is the student version of JMP, SAS Institute's statistical package for business and engineering professionals.
More details
Edition
2nd Revised edition
Language
English
Place of publication
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
Illustrations
Dimensions
Height: 241 mm
Width: 190 mm
Weight
816 gr
ISBN-13
978-0-534-35967-6 (9780534359676)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
01/1996
2nd Edition
Wadsworth Publishing Co Inc
€44.75
Article exhausted; check for reprint
Persons
Content
PART I: JMPING IN WITH BOTH FEET 1. JMP RIGHT IN First Session / Modeling Type / Analyze and Graph / Getting Help: The JMP Help System 2. JMP DATA TABLES The Ins and Outs of a JMP Data Table / Moving Data and Results Out of JMP / Juggling Data Tables / The Group/Summary Command 3. CALCULATOR ADVENTURES The Calculator Window / A Quick Example / Calculator Pieces and Parts / Terms Functions / Conditional Expressions and Comparison Operators / Summarize Down a Column or Summarize Across Rows / Random Number Functions / Parameters / Tips on Building Formulas / Caution and Error Messages PART II: STATISTICAL SLEUTHING 4. WHAT ARE STATISTICS? Ponderings / Preparations / Statistical Terms 5. UNIVARIATE DISTRIBUTION: ONE VARIABLE, ONE SAMPLE Looking at Distributions / Review: Probability Distributions / Describing Distributions of Values / Statistical Inference on the Mean / Special Topic: Testing for Normality / Special Topic: Simulating the Central Limit Theorem 6. DIFFERENCES BETWEEN TWO MEANS Two Independent Groups / Testing Means for Matched Pairs / Review A Nonparametric Approach 7. COMPARING MANY MEANS: ONE-WAY ANALYSIS OF VARIANCE What Is a One-Way Layout? / Comparing and Testing Means / Special Topic: Adjusting for Multiple Comparisons / Power / Unequal Variances / Nonparametric Methods 8. FITTING CURVES THROUGH POINTS: REGRESSION Regression / Why Graphics Are Important / Why It's Called Regression / Curiosities 9. CATEGORICAL DISTRIBUTIONS Categorical Situations / Categorical Responses and Count Data: Two Outlooks / A Simulated Categorical Response / The X2 Pearson Chi-Square Test Statistic / The G2 Likelihood Ratio Chi-Square Test Statistic / Univariate Categorical Chi-Square Tests 10. CATEGORICAL MODELS Fitting Categorical Responses to Categorical Factors / Correspondence Analysis: Looking at Data with Many Levels / Continuous Factors for Categorical Responses: Logistic Regression / Special Topics / Surprise: Simpson's Paradox: Aggregate Data versus Grouped Data 11. MULTIPLE REGRESSION Parts of a Regression Model / A Multiple Regression Example / Special Topic: Collinearity / Special Topic: The Case of the Hidden Leverage Point / Special Topic: Mining Data with Stepwise Regression 12. FITTING LINEAR MODELS The General Linear Model / Two-way Analysis of Variance and Interactions / Optional Topic: Random Effects and Nested Effects. (Part contents).