**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

**Introduction**

Now that we are familiar with all the basic statistical methods we can look at using them in the manufacturing space to monitor a process for error.

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**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

**Introduction**

This article will demonstrate analysis of variance to analyze the results of a design of experiment (DOE).

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**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

**Introduction**

This article will introduce the concept of correlation on a data set using the R Project software.

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**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

**Introduction**

This article will show step by step how to determine if one variable is dependent on a second variable. This method is useful when you are counting data and presenting it in table form.

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**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Tags:

**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

**Introduction**

This article will introduce linear regression on a data set using the R Project software. This is useful if your data is "on a line" rather than a Gaussian distribution.

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**Preface**

This series is aimed at providing tools for an electrical engineer to gain confidence in the performance and reliability of their design. The focus is on applying statistical analysis to empirical results (i.e. measurements, data sets).

Tags:

I recently wired my lab for ethernet and began automating my testing with Python scripts and the awesome Python(x,y) environment curated and maintained by Google. Freed from the burden of so much test setup this got me thinking about how to design and execute a test which fully and accurately characterized the unit under test. This is broken into the following objectives:

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Most books on electronics theory treat the subject of passives in the following way:

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This is an update of an article I wrote almost two years ago. There are a few things I've wanted to change and so I'm taking the time now to expand the original. I hope this will be of some use to budding engineers and college students who are trying to wrap their head around the big picture. This is how I understand what an engineer does, but not necessarily how other engineers see things.

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