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 * 3. Induction and Pattern Recognition||42
 * Types of Explanation||43
 * Coincidence||45
 * Correlation||46
 * Examples||47
 * Crossplots||50
 * Plotting Hints||52
 * Extrapolation and Interpolation||53
 * Correlation Statistics||55
 * Nonlinear Relationships||58
 * Correlation Conclusions||60
 * Perspectives on Causality||60
 * Mill's Canons: Five Inductive Methods||64
 * Method of Agreement||65
 * Method of Difference||66
 * Joint Method of Agreement &amp; Difference||67
 * Method of Concomitant Variations||67
 * Method of Residues||67
 * Correlation or Causality?||68
 * 4. Deduction and Logic||71
 * Logic||72
 * Deduction vs. Induction||73
 * Deductive Logic||74
 * Classification Statements||75
 * Deductive Aids: Venn Diagrams and Substitution||76
 * Logically Equivalent Statements||78
 * Relationships among Statements||80
 * Syllogisms||82
 * Categorical Syllogisms||83
 * Hypothetical Syllogisms||85
 * Pitfalls: Fallacious Arguments||86
 * Fallacies Resulting from Problems in a Premise||88
 * Fallacies Employing Extraneous Other Evidence||90
 * Faulty Link between Premises &amp; Conclusion||92
 * Case-dependent Relationship between Parts &amp; Whole||94
 * 5. Experimental Techniques||97
 * Observational versus Experimental Science||98
 * Seizing an Opportunity||101
 * Experimental Equipment||101
 * Prototypes and Pilot Studies||102
 * Troubleshooting and Search Procedures||104
 * Problem: Find a Needle in a Haystack||109
 * Problem: Search for the Top Quark||110
 * Tips on Experimental Design and Execution||110
 * Pitfalls of Experimental Design||116
 * Control of Variables||117
 * Problem: the Noisy Widgetometer||120
 * Computation and Information Handling||121
 * LIVING SCIENCE||
 * 6. The Myth of Objectivity||125
 * Perception: Case Studies||125
 * Perception, Memory, and Schemata||131
 * Postmodernism||135
 * Pitfalls of Subjectivity||137
 * Experimental Design||137
 * }
 * Categorical Syllogisms||83
 * Hypothetical Syllogisms||85
 * Pitfalls: Fallacious Arguments||86
 * Fallacies Resulting from Problems in a Premise||88
 * Fallacies Employing Extraneous Other Evidence||90
 * Faulty Link between Premises &amp; Conclusion||92
 * Case-dependent Relationship between Parts &amp; Whole||94
 * 5. Experimental Techniques||97
 * Observational versus Experimental Science||98
 * Seizing an Opportunity||101
 * Experimental Equipment||101
 * Prototypes and Pilot Studies||102
 * Troubleshooting and Search Procedures||104
 * Problem: Find a Needle in a Haystack||109
 * Problem: Search for the Top Quark||110
 * Tips on Experimental Design and Execution||110
 * Pitfalls of Experimental Design||116
 * Control of Variables||117
 * Problem: the Noisy Widgetometer||120
 * Computation and Information Handling||121
 * LIVING SCIENCE||
 * 6. The Myth of Objectivity||125
 * Perception: Case Studies||125
 * Perception, Memory, and Schemata||131
 * Postmodernism||135
 * Pitfalls of Subjectivity||137
 * Experimental Design||137
 * }
 * Problem: Search for the Top Quark||110
 * Tips on Experimental Design and Execution||110
 * Pitfalls of Experimental Design||116
 * Control of Variables||117
 * Problem: the Noisy Widgetometer||120
 * Computation and Information Handling||121
 * LIVING SCIENCE||
 * 6. The Myth of Objectivity||125
 * Perception: Case Studies||125
 * Perception, Memory, and Schemata||131
 * Postmodernism||135
 * Pitfalls of Subjectivity||137
 * Experimental Design||137
 * }
 * 6. The Myth of Objectivity||125
 * Perception: Case Studies||125
 * Perception, Memory, and Schemata||131
 * Postmodernism||135
 * Pitfalls of Subjectivity||137
 * Experimental Design||137
 * }
 * Postmodernism||135
 * Pitfalls of Subjectivity||137
 * Experimental Design||137
 * }
 * Experimental Design||137
 * }