This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Intro into Logic final Exam: Statistical Syllogisms- ___Fs are Gs] A is an F] A is a G 1) Quantifier must be greater than 50% 2) Rule of total evidence must be satisfied (all evidence taken into account) Analogical Arguments- Objects of type X have properties F, G, H, and Z Objects of type Y have properties F, G, H, Objects of type Y also have Z 1) Degree of similarity between two objects must be high False Analogy Argument in which the objects compared are not sufficient relevantly similar I nductive Generalizations- X% of observed Fs are Gs X% of all Fs are Gs 1) Sample size must be big enough 2) Sample must have sufficient variety Hasty Generalization Fallacy- Sample size too small Biased Statistics Fallacy- lacks sufficient variety Misleading Vividness- occurs when one ignores a body of good evidence in favor of some meager, vivid evidence Random Sample- each member of the population has the same chance of getting into the sample....
View Full Document
This note was uploaded on 09/08/2011 for the course PHL 100 taught by Professor Kim during the Spring '08 term at Central Mich..
- Spring '08