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Class Notes for POLS 2503 at Temple University

TEMPLEPOLS 2503David NickersonFall

POLS 2503 Lecture 7: 10.18 Descriptive Statistics

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30 Dec 2018
0
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
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TEMPLEPOLS 2503David NickersonFall

POLS 2503 Lecture 9: Correlation

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30 Dec 2018
0
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TEMPLEPOLS 2503David NickersonFall

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

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30 Dec 2018
0
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
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TEMPLEPOLS 2503Sanjeevini B.LokhandeFall

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

Sarah Miller1 Page
26 Oct 2017
0
Causality exists beyond data; the principle that a change in the state of one phenomenon (variable) universally produces a corresponding change in anot
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TEMPLEPOLS 2503David NickersonFall

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

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30 Dec 2018
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TEMPLEPOLS 2503David NickersonFall

POLS 2503 Lecture 5: 10.11 Reciprocity

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30 Dec 2018
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TEMPLEPOLS 2503David NickersonFall

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

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30 Dec 2018
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TEMPLEPOLS 2503David NickersonFall

POLS 2503 Lecture Notes - Lecture 6: Submarine Sandwich

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30 Dec 2018
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TEMPLEPOLS 2503Sanjeevini B.LokhandeFall

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

Sarah Miller1 Page
28 Oct 2017
0
Three factors that determine how closely a sample statistic represents a population parameter: sample size, procedure used to choose the sample, amount
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TEMPLEPOLS 2503Sanjeevini B.LokhandeFall

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

Sarah Miller2 Page
28 Oct 2017
0
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
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TEMPLEPOLS 2503Sanjeevini B.LokhandeFall

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

Sarah Miller1 Page
28 Sep 2017
0
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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TEMPLEPOLS 2503Sanjeevini B.LokhandeFall

POLS 2503 Lecture 10: Case Studies

Sarah Miller1 Page
27 Oct 2017
0
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