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JMP Start Statistics

JMP Start Statistics


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About the Book

Written by JMP developers John Sall, Ann Lehman, and Lee Creighton, of SAS Institute, JMP Start Statistics is the official user's guide to JMP- and JMP IN - the powerful statistical discovery software created by SAS Institute. Designed for first-time users of JMP 4 and JMP IN, JMP Start Statistics is a comprehensive reference tool, rich with examples and exercises show how to use JMP and JMP IN to analyze real data. It contains clear instruction on JMP's many statistical functions. And it even serves as a handy guidebook to learning basic statistical concepts.Overall, this guidebook is a friendly and enjoyable, yet comprehensive, introduction to JMP and JMP IN."

Table of Contents:
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).


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Product Details
  • ISBN-13: 9780534359676
  • Publisher: Cengage Learning, Inc
  • Publisher Imprint: Duxbury Press
  • Edition: Revised edition
  • Language: English
  • Weight: 816 gr
  • ISBN-10: 0534359671
  • Publisher Date: 13 Jul 2000
  • Binding: Paperback
  • Height: 241 mm
  • Returnable: N
  • Width: 190 mm


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