Open Educational Resources | Pao Yue-kong Library, The Hong Kong Polytechnic University

Video

Crash Course Statistics

In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks. By the end of the course, you will be able to:

*Identify questions that can be answered using statistics *Describe patterns, trends, associations, and relationships in data both numerically and graphically

*Justify a conclusion using evidence from data, definitions, or statistical inference

*Apply statistical models to make inferences and predictions from data sets

*Understand how statistics are used broadly in the world and interpret their meaning, like in newspapers or scientific studies Learning playlist

Subjects:: Mathematics and Statistics
Keywords:: Statistics
Resource Type:: Video

e-book

Answering questions with data: Introductory Statistics for Psychology Students

This is a free textbook teaching introductory statistics for undergraduates in Psychology. This textbook is part of a larger OER course package for teaching undergraduate statistics in Psychology, including this textbook, a lab manual, and a course website. All of the materials are free and copiable, with source code maintained in Github repositories.

Subjects:: Psychology and Mathematics and Statistics
Keywords:: Statistics Social sciences -- Statistical methods Textbooks Psychology
Resource Type:: e-book

e-book

Learning Statistics with R: A tutorial for psychology students and other beginners

Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.

Subjects:: Psychology and Mathematics and Statistics
Keywords:: Statistics Social sciences -- Statistical methods Textbooks Statistics -- Computer programs R (Computer program language)
Resource Type:: e-book

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