Statistics lectures Samenvattingen, Aantekeningen en Examens

Deze uitgebreide samenvatting gaat in op de stof van de hoorcolleges, seminars en werkgroepen, met behulp van modellen, figuren en tabellen heb ik zo goed mogelijk de stof proberen toe te lichten. Daarnaast heb ik nog een paar handige tabellen toegevoegd die je kunnen helpen in het overzicht van de chaos van alle analyses. En tot slot heb ik nog een paar oefenvragen erbij gegooid. De samenvatting is in het Nederlands geschreven maar de belangrijkste begrippen zijn natuurlijk in het Engels (en s...

This summary covers all relevant lectures of the course 'Statistics for Premasters' during the Premaster Communication and Information Sciences from 2021. Note that you need to have attended the in-class lectures to fully understand the summary. (I received a 8.1 for the final exam with only studying this summary.) Good luck studying!

Statistics 3 Lectures LECTURE 1: Recapitulation LECTURE 2: ANOVA / Regression LECTURE 3: Factorial ANOVA LECTURE 4: ANCOVA LECTURE 4: Mediation / Moderation LECTURE 6: MANOVA/ Repeated Measures

Detailed summary of all lectures and additional notes, explanations and examples for the course "Statistics for Premasters DSS" at Tilburg University which is part of the Pre-Master Data Science and Society. Course was given by P.H.G. Hendrix and E. Fukuda during the first semester of the academic year 2021 / 2022 (August to December 2021).

Instructor test bank 2023 verified and updated. By TECHGRADES. 1-Advanced Engineering Electromagnetics by Constantine Balanis 2-Antenna Theory and Design, 2ed+1ed, by Warren Stutzman 3-Circuit Design with VHDL by Volnei A. Pedroni 4-Convex Optimization by Stephen Boyd and Lieven Vandenberghe 5-Digital signal processing 2+1ed, by Sanjit K. Mitra 6-Partial differential equations, lecture notes by Neta 7-Fundamental Methods of Mathematical Economics 4ed, by Alpha C. Chiang 8-C++ How ...

Summary of lectures notes from week 1-6. Includes: -Descriptive analytics -Descriptive Statistics -Variability -Probability -Descrete Probability Distribution -Binomial Distribution -Poisson Distribution -Continuous Probability Distributions

Summary of the material for the final exam (2022) for Statistics II: Applied Quantitative Analysis. INCLUDES Q&A lectures, web lectures and seminar notes from week 1-6 (Total: 43 pages).

This document contains over 70 practice questions covering the theory (no calculations!) of Statistics 3 of the third year of psychology. The questions are open-ended and the answers are explained extensively. All questions are based on the literature and lectures.