Learning Statistics with R samenvattingen

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).

lecture notes

The summary of all the covered chapters of the course

MATH 225N Week 5 Lab Assignment

A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics with R.

Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.

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).

The summary of all the covered chapters of the course

lecture notes

MATH 225N Week 5 Lab Assignment

A well written summary for the course Statistics 1 at TiU. The summary introduces Statistics theory and how to write this in R code. It also introduces Rstudio. The whole summary is divided into chapters and subchapter and contains R code examples in the form of images. Summary is based on the book Navarro, D. (2015). Learning statistics with R.

Chapter 10 discusses samples, populations, and sampling methods in statistics. It covers the importance of obtaining a representative sample from a larger population and the challenges of doing so. The chapter also introduces the Law of Large Numbers. Additionally, it explains the concept of sampling distributions and the Central Limit Theorem. Lastly, the chapter addresses the estimation of population parameters, such as the mean and standard deviation, using sample statistics.

For the fall midterm of Statistics for CSAI I, this is based on the study guide that was provided by Dr. T. J. Wiltshire. It contains applications of basic R principles, basic statistics (measures of dispersion), how to plot through R and GGplot. Study guide: Types of validity Measurement scales Null vs alternative hypotheses Creating variable names in R Using a working directory and loading data in R Logical and arithmetic operators in R Vector operations Data frame and matrix operatio...