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Universiteit van Amsterdam
BSc Communication Science

Mar 23 - Mar 23

Statistical Reasoning: Theory & Application

Final Exam · March

0 of 72 completed (0%)

Course Overview

Science Fundamentals

Falsification: Why Stats Matters Science in a Minute Skepticism, Validity, Reliability

Stats Fundamentals

What is Inferential Statistics?Variables and Datasets Check for Missing Values

The 10 Attributes

Levels of Measurement Measures of Central Tendency Dummy Variables Direction Choosing a Test Running, Reading, Reporting H0s, Interpretation, Strength

Normal Distributions

Normal Distributions are Everywhere Properties of a Normal Distribution I Don't Care About Your Average

Z-Scores

Distribution as a Ruler Many Ways to Talk Cumulative Percentages Finding the 95% Range How Long Do I Have to Wait?

All Distributions I

What is a Sampling Distribution?What's the Population Number?Measures of Dispersion SD vs SE Not Only Averages Linking Back to Book and Summary

T-Tests

T-Tests (Part 1)Literally All T-Tests One-Sample T-Test Dependent-Samples T-Test What is Cohens D

Chi-Square

Chi-Square Chi-Square Moderation Hand-In Assignment

Correlation + Linear Regression

Correlation Linear Regression

Regression Equations

Regression Equations Scatter Plots

One-Way ANOVA

Regressions Cousin One-Way ANOVA

Two-Way ANOVA

Two-Way ANOVA Hand-In Assignment

Proportions Tests

One Proportion Test Two Proportions Test

Part 2: Interpreting SPSS Output

Reading T-Test Output Reading Correlation Tables Reading Regression Coefficients Reading Chi-Square Output

Recap + Practice Exam

Recap Practice Exam

Advanced: Literally Every Test

Turning Hypotheses Into Numbers Check If 0 or Not All About the Range Does the Range Include 0?What is a p-value?Alpha, Significance Level, Confidence Level The Alpha Rule: Reject Retain Two Worlds How to Find the Wiggle Room Intro to Errors Type I and II 1-Tailed vs. 2-Tailed Tests P-values in 1- and 2-Sided Tests

Advanced: All Distributions II

Sampling Discrete x Continuous Theoretical Approximations What is Bootstrapping What is Exact Approach

Advanced: The Bouncer Dilemma

Recap Literally Every Test Ranges Interval Estimates Errors Type I Type II The Critical Value Tradeoff Trick Questions Sample Size Changes