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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 -- Computer programs R (Computer program language) Textbooks Statistics Social sciences -- Statistical methods

Resource Type:

e-book
e-book

Think Stats: Probability and Statistics for Programmers

Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

Subjects:

Computing, Data Science and Artificial Intelligence and Mathematics and Statistics

Keywords:

Statistics -- Computer programs Textbooks

Resource Type:

e-book

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

Think Stats: Probability and Statistics for Programmers

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