JMP start statistics : a guide to statistics and data analysis using JMP and JMP IN software
著者
書誌事項
JMP start statistics : a guide to statistics and data analysis using JMP and JMP IN software
Duxbury, c2001
2nd ed
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注記
Bibliography: p. 479-482
Includes index
内容説明・目次
内容説明
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.
目次
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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