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Qfl - Tool 2021

Danielle J. Navarro and David R. Foxcroft, Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis. Cambridge, UK: Open Book Publishers, 2025, https://doi.org/10.11647/OBP.0333

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About the book

Scope

Learning statistics with jamovi covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students.

Getting started

The book discusses how to get started in jamovi as well as giving an introduction to data manipulation.

Elegant Design

Written in latex and published as a pdf file, for great design and easy access.

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Basics and Theory

Descriptive statistics and graphing are followed by chapters on probability theory, sampling and estimation, and null hypothesis testing.

Statistical Analysis

The book covers the analysis of contingency tables, correlation, t-tests, regression, ANOVA and factor analysis.

All for free!

The book is open source licensed and is free to access and/or download.

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Data files

Data files to accompany the book are available here, or can be accessed within jamovi via an add-on module in the jamovi library.

Qfl - Tool 2021

| Operation | QFL 2020 (Linux) | QFL 2021 (Linux) | Improvement | |-----------------------|------------------|------------------|-------------| | Build 100k files (10GB)| 8.2 seconds | 5.1 seconds | 38% faster | | Verify checksums | 9.4 seconds | 5.8 seconds | 38% faster | | Mount latency (first file access) | 1.2s | 0.3s | 75% faster | | Deduplication ratio (identical files across versions) | 68% | 82% | Better chunk boundary algorithm |

The 2021 version also reduces memory usage by ~40% when handling directories with more than 500,000 files, thanks to a rewritten inode cache. qfl tool 2021

qfl diff-layer ./data_v2/ --against base.qfl --output changes.qfl | Operation | QFL 2020 (Linux) | QFL

As of 2025, the QFL Tool 2021 is considered legacy software. Here is how it compares to current solutions: When used responsibly, the QFL Tool 2021 is

| Feature | QFL Tool 2021 | Official Tools (MiFlash, Odin) | Modern EDL Clients (EDL.exe, QFIL) | | :--- | :--- | :--- | :--- | | Authentication Required | No | Yes (for EDL mode) | No (open-source) | | Chipset Support | UP to Snapdragon 888 | Limited to manufacturer | Up to Snapdragon 8 Gen 3 | | User Interface | Basic GUI | Manufacturer-specific | Command-line based | | Safety Checks | Minimal | Extensive | Moderate | | Availability | Abandoned, hard to find | Official, updated | GitHub, active forks |

The open-source edl tool (by bkerler) has largely replaced the QFL Tool 2021 due to its active development, Python compatibility, and cross-platform support.


When used responsibly, the QFL Tool 2021 is a potent recovery instrument. Common legitimate scenarios include:


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Provenance

This book is an adaptation of DJ Navarro (2018). Learning statistics with R: A tutorial for psychology students and other beginners. (Version 0.6). https://learningstatisticswithr.com/.

The book is released under a creative commons CC BY-SA 4.0 licence. 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 - CC BY-SA.