# Class Notes for POLS 2503 at Temple University

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## POLS 2503 Lecture 7: 10.18 Descriptive Statistics

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Marketed by milton bradley in us as chutes and ladders in 1943. Lesson: recruiting more people does not average but lowers variance. Goal of descriptiv

View Document## POLS 2503 Lecture Notes - Lecture 2: Sexism, Monster.Com, Apple I

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Experiments designed to measure real world performance. Apply for jobs and randomly vary the race implied by the names. That is, the professors are goi

View Document## POLS 2503 Lecture Notes - Lecture 9: Unobservable, Causal Inference, Dependent And Independent Variables

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Causality exists beyond data; the principle that a change in the state of one phenomenon (variable) universally produces a corresponding change in anot

View Document## POLS 2503 Lecture Notes - Lecture 8: Multivariate Statistics, Dependent And Independent Variables, Central Tendency

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## POLS 2503 Lecture Notes - Lecture 3: Human Security, External Validity, Internal Validity

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## POLS 2503 Lecture Notes - Lecture 11: Observational Error, Statistic, Sample Size Determination

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Three factors that determine how closely a sample statistic represents a population parameter: sample size, procedure used to choose the sample, amount

View Document## POLS 2503 Lecture Notes - Lecture 12: Central Limit Theorem, Statistical Inference, Statistical Parameter

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Population an entire universe of cases relevant to a study from which a sample is drawn (true population characteristics can never be known) Sample sub

View Document## POLS 2503 Lecture Notes - Lecture 3: Karl Popper, Falsifiability, Fallibilism

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How to measure progress in science: theory, hypothesis, test and gather evidence, empirical validation. Building a knowledge base: search for empirical

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