# All Educational Materials for PSYC 3031 at York University (YORKU)

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## PSYC 3031 Study Guide - Final Guide: Multiple Comparisons Problem, Linear Regression, Homoscedasticity

6 Page

31 Mar 2016

False discovery rate: fraction of statistically significant results that are actually false positives (related to type 1 error) Base rate fallacy: the

View Document## PSYC 3031 Lecture Notes - Lecture 3: Local Regression, Diminishing Returns

2 Page

10 May 2017

Look at data before analyzing, stats methods can only tell you very specific things. Only by looking at it visually, you become very familiar with it +

View Document## PSYC 3031 Lecture Notes - Lecture 7: Noncentrality Parameter, Null Hypothesis, Type I And Type Ii Errors

2 Page

10 May 2017

Always have to protect against both kinds of error. Example: group of 25 people, mean iq is 100 + pop sd of 15. With just one sample: cohens d * square

View Document## PSYC 3031 Lecture Notes - Lecture 2: Kurtosis, Skewness, Descriptive Statistics

7 Page

20 Jan 2017

Population group that your conclusions apply to. Sample group you study to estimate/generalize to your population. Polls today are more accurate than e

View Document## PSYC 3031 Lecture Notes - Lecture 5: Bernoulli Trial, Null Hypothesis, Binomial Distribution

2 Page

10 May 2017

Classical (analytic) only for well-understood, regular objects. Frequentists (frequencies, mostly psychologists use) enables one to use irregular objec

View Document## PSYC 3031 Lecture Notes - Lecture 6: Standard Deviation, Sampling Distribution, Confidence Interval

2 Page

10 May 2017

Z = x population / standard deviation. If we assume population is normal, we can determine proportions of the population above/below each of these scor

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