Lectures 2 and 3

Lectures 2 and 3 - Is simple (parsimonious) The statistics...

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“San Francisco Earthquake Sets off 9 Heart Attacks” 45 Seconds 8:42 AM Tuesday 6.4 on Richter Scale Affecting 6 large cities in SF Bay Area
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Milgram Shock Experiment
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75 Volts: “Ungh!” 150 Volts: “Experimenter, get me out of here!” 180 Volts: “I can’t stand the pain!” 270 Volts: Agonized scream 290 Volts: Says he won’t give any more answers.
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How To Run A Science Hypothesis About How World Works (which leads to) Prediction About Specific Situation (then) (then) Analyze Results and Draw Inferences
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Deductive Logic All men are mortal. Socrates is a man. Therefore, ................. ?
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Inductive Logic Every jub-jub bird I’ve ever seen is purple. Therefore, . ...... ?
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What Makes A Good Theory Fits known data Predicts new findings Is falsifiable
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Unformatted text preview: Is simple (parsimonious) The statistics youre allowed to use depend on your control over the experimental situation. 1. INFERENTIAL STATISTICS- Used with experiments, where irrelevant variables are controlled.- Allows you to draw conclusions about causality. INDEPENDENT VARIABLE (What Experimenter Manipulates) In Milgram Experiment: Degree of Authority INDEPENDENT VARIABLE DETERMINES THE CONDITIONS THAT ARE COMPARED In Milgram Experiment: Low Authority: vs. High Authority: Business setting Yale (A control condition) 1. INFERENTIAL STATISTICS 1. DESCRIPTIVE STATISTICS (less powerful)- Can summarize data or show relation among variables, but cant show cause.- Example: Correlation shows relation between two variables....
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This note was uploaded on 10/07/2010 for the course PSY 103-02 taught by Professor Nancyfranklin during the Fall '09 term at SUNY Stony Brook.

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Lectures 2 and 3 - Is simple (parsimonious) The statistics...

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