JASP version:0.11.1 OS name and version: MacOS 10.14.6 Analysis:logistic regression Bug description:after successfully uploading my dataset, I clicked on logistic regression within the regression icon and I got the message saying that du. JASP Download Instructions 1. Click on the link to download JASP 0.13.1 for your operating system.Depending on your operating system you may have an alternative prompt when downloading JASP (MAC OS) 3. JASP is available for Mac OS X, version 10.12 (Sierra) and above (Which version do I have? The version of JASP you are about to download is 5.2. The software is periodically scanned by our antivirus system. We also encourage you to check the files with your own antivirus before launching the installation. The contents of the download are original and were not modified in any way. Tables can also be exported from JASP in LaTeX format JASP can be downloaded free from the website and is available for Windows, Mac OS X and Linux. You can also download a pre-installed Windows version that will run directly from a USB.
Welcome to the homepage for the book Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners, written by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry.
Learning Statistics with JASP is a free textbook covering the basics of statistical inference for beginners in psychology and related applied disciplines. It uses the free software package JASP. Written in a lively, conversational style, it provides the reader with a perfect balance of readability and rigor, and gives students a modern view of statistical inference in the psychological and behavioral sciences.
Learning Statistics with JASP is available as a free PDF download. You can download the entire book in one file (~7MB), or you can download specific chapters below:
- Complete book (pdf)
- Table of contents (pdf)
- Chapter 1: Why do we learn statistics? (pdf)
- Chapter 2: A brief introduction to research design (pdf)
- Chapter 3: Getting started with JASP (pdf)
- Chapter 4: Descriptive statistics (pdf)
- Chapter 5: Drawing graphs (pdf)
- Chapter 6: Introduction to probability (pdf)
- Chapter 7: Estimating unknown quantities from a sample (pdf)
- Chapter 8: Hypothesis testing (pdf)
- Chapter 9: Categorical data analysis (pdf)
- Chapter 10: Comparing two means (pdf)
- Chapter 11: Correlation and linear regression (pdf)
- Chapter 12: Comparing several means (one-way ANOVA) (pdf)
- Chapter 13: Factorial ANOVA (pdf)
- Chapter 14: Bayesian statistics (pdf)
- Epilogue (pdf).
Data sets for book
The example datasets that are used in Learning Statistics with JASP are available for download in two ways.
- you can download one ZIP file containing all data files and save it to your computer (recommended)
- you can download specific datasets from the book's GitHub repository
Instructors
If you are using (or are considering using) this book for your own course, please let us know at the following link. We really want to know who is using the book and how and where it is being used.
Source code
This book was written entirely in LaTeX, and all source code for the book can be found on GitHub.
How to contribute
Jasp For Mac Keyboard
This book is completely open source, which means you are free to adapt it in any way you wish (as long as appropriate credit is given to the authors..see below). However, if you find issues that you would like to see corrected and or changed in this posted version, feel free to contact me by email. Even better would be to log an issue on GitHub.
Jasp For Mac Download
This book is an adaptation of Navarro, D.J., & Foxcroft, D. R. (2019). learning statistics with jamovi: A tutorial for psychology students and other beginners. (Version 0.7). DOI: 10.24384/hgc3-7p15. It is released under a Creative Commons CC BY-SA 4.0 license. This means that this book can be reused, remixed, retained, revised and redistributed (including commercially) as long as appropriate credit is given to the authors. If you remix, or modify the original version of this open textbook, you must redistribute all versions of this open textbook under the same license as the original.