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1
Introduction
2
How to Not Lie with Statistics
3
Testing
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Certification
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Why Statistics
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Dealing with Data
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Measuring Data
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Tidy Data
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Data in messy form
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A proper statistical environment
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How to understand data
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Types of data
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Histogram
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Transformations
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Nonparametric method
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Summary statistics
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Summary statistics example
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Comparing data sets
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Cumulative distributions
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Common mistakes
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Linear Regression
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Linear Regression Results
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But Fix Commits
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Summary
Description:
Explore statistical quality assurance techniques for embedded Linux systems in this 53-minute conference talk by Wolfgang Mauerer of Siemens AG/OTH Regensburg. Learn best practices for designing and running automated statistical tests, evaluating data, and avoiding common mistakes in interpreting results. Gain practical insights using real-world examples and the open-source R language. Discover how to measure and analyze data effectively, understand different types of data, and apply nonparametric methods. Delve into topics such as histograms, transformations, summary statistics, cumulative distributions, and linear regression. Enhance your ability to ensure reliability, error rates, and maximal latencies in embedded Linux applications, including real-time and safety-critical systems.

Embedded Linux Quality Assurance: How to Not Lie with Statistics

Linux Foundation
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