PHIL 115B Exam 1 Prep
(for Fri., Apr. 18)
Know
and be able to do anything on HW1 or HW2
or HW3 or in-class
quizzes, including but not limited to the following concepts:
- Chapter
1, Basic Concepts
- 1.1
Arguments, Premises, Conclusions
-
Logic
-
Argument
-
Statement
-
Truth value
-
Premises
-
Conclusion
-
Premise/Conclusion Indicator
-
Inference
-
Proposition
-
Aristotle
- 1.2
Recognizing Arguments
-
3 things to look for (p. 23)
-
Explicit and implicit inferential claims
-
10 types of non-arguments
-
Explanations (explanans/explanandum)
-
Conditional statements
-
Antecedent / Sufficient condition
-
Consequent / Necessary condition
- 1.3
Deduction & Induction
-
Deductive / inductive arguments
-
Necessary / probabilistic reasoning
-
3 criteria for distinguishing (p. 31)
-
6-level hierarchy (pp. 36-7)
Deductive / inductive argument forms
-
Syllogism (categorical, hypothetical, disjunctive)
-
Prediction
-
Analogy
-
Generalization
-
Authority
-
Signs
-
Causal Inference
-
Particular / general statements
- 1.4
Validity, Truth, Soundness, Strength, Cogency
-
Valid / invalid deductive argument
-
Sound / unsound deductive argument
-
Strong / weak inductive argument
-
Cogent / uncogent inductive argument
-
Total evidence requirement
- 1.5
Argument Forms: Proving Invalidity
-
Counterexample Method
-
- 9
Induction
-
9.1 Analogy and Legal and Moral Reasoning
-
Form of argument from analogy
-
Primary and secondary analogues
-
6 criteria for strength of analogy
-
1. Relevance of similarities
-
2. Number of similarities
-
3. Nature and degree of disanalogy
-
4. Number of primary analogues
-
5. Diversity among primary analogues
-
6. Specificity of conclusion
-
9.2 Causality and Mill's Methods
-
Necessary and sufficient conditions
-
Method of agreement
-
Method of difference
-
Joint method of agreement and difference
-
Method of residues
- Method
of concomitant variation
- 9.3
Probability
-
Probability and odds
-
Classical (a priori) theory of probability
-
Principle of Indifference
-
Relative frequency theory
-
Subjectivist theory
-
Simple and compound events
-
Probability calculus
-
Restricted conjunction rule (independent events)
-
General conjunction rule
-
Restricted disjunction rule (mutually exclusive events)
-
General disjunction rule
-
Negation rule
-
Bayes's Theorem
-
9.4 Statistical Reasoning
-
Representative vs. biased sample
-
Randomness, size of sample, psychological factors
-
Sampling error
-
3 meanings of "average"
-
Mean
-
Median
-
Mode
-
3 measures of dispersion
-
Range
-
Variance
-
Standard Deviation
-
Normal distribution
-
Graphs and Pictograms
-
Beware of misleading scales, chopping off axes, incorrect proportions
-
Percentages
-
Insist on a clear base for comparison
-
9.5 Hypothetical / Scientific Reasoning
-
Hypotheses, explanations, hypothetical reasoning
-
Four stages of the hypothetical method
-
1. Occurrence of a problem
-
2. Formulating a hypothesis
-
3. Drawing implications from the hypothesis
-
4. Testing the implications
-
Three additional points
-
1. A hypothesis is not derived from evidence but is
added
-
2. A hypothesis directs the search for evidence
-
3. A hypothesis is conclusively disproven if one of
its implications is false, but is not conclusively proven if any of its
implications are true
-
Empirical and Theoretical Hypotheses
-
Four criteria bearing upon the tentative acceptability of a hypothesis
-
1. Adequacy
-
2. Internal coherence
-
3. External consistency
-
4. Fruitfulness
-
9.6 Science & Superstition
-
Evidentiary Support
-
Anecdotal evidence unreliable
-
Replicability under controlled conditions
-
Precision vs. vagueness
-
Falsifiability and disconfirmability
-
Ad hoc modifications
-
Ockham's Razor (simplicity vs. complexity)
-
Predictions leading to progress
-
Objectivity
-
Superstition satisfies emotional needs
-
People are fascinated by the mysterious
-
Placebo effect
-
Pareidolia
-
Gestalt
-
We see what we expect to see
-
Autokinetic effect
-
Hypnagogic & hypnopompic hallucinations
-
Collective hallucinations
-
Confabulation
-
Integrity
-
Faked evidence (e.g. Uri Geller, fire-walking, cold reading)
-
Scientists as puzzle solvers
-