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Textbook Notes for PSYC 300A at University of Victoria (UVIC)

UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 1: Central Tendency, Observational Error, Statistical Inference

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X0 = observed recoded value (an estimate of xt) Xt = true value of a datum (often is unknown or a theoretical value) Xe = random error of measurement (
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 8: Statistical Inference, Binomial Distribution, Random Assignment

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Psyc 300a - chapter 8: probability & sampling: inferential analysis: process by which we make inferences about our observed data. Focuses on a statisti
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 3, 4: Unimodality, Xm Satellite Radio, Central Tendency

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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 9: Apa Style, Test Statistic, Random Assignment

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Psyc 300a - chapter 9: hypothesis testing: inferential analysis: systematic procedure for determining whether results of an experiment provide support
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 6: Heteroscedasticity, Xm Satellite Radio, Squared Deviations From The Mean

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Psyc 300a - chapter 6: regression: regression objectives for regression are: (i) (ii) the role of prediction with bivariate data. Predict y given x by
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 5: Statistical Hypothesis Testing, Heteroscedasticity, Scatter Plot

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Bivariate data: involves 2 variables (x & y) graph using a scatterplot or scatter diagram of pairs of scores or values, correlation: how strongly & in
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 2: Exploratory Data Analysis, Cumulative Frequency Analysis, Level Of Measurement

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2nd column frequency (# of times it appears: acts as the dv of the table because it depends on the score, allows to easily determine mode. Apa general
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UVICPSYC 300ADavid MedlerFall

PSYC 300A Chapter Notes - Chapter 7: Unimodality, Linear Map, Xm Satellite Radio

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Psyc 300a - chapter 7: empirical distributions: mathematical properties remember: adding/subtracting a constant to each value in the data set increases
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