Over the years of my reading philosophy I've always kept a basic "epistemology of philosophical knowledge" in my head as a way to organize all knowledge. But several difficulties arise:

- Is it comprehensive, covering all philosophical knowledge?
- Does it cover
*all*knowledge? If not does it provide hooks to provide or expose a way to organize all knowledge? - Is it authoritative or just bull? I just made it up to track everything I've learned.
- Is it useful or functional?

**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**

We've covered the basic methods of applying statistics to your design and verification environment. Now let's present them all together and discuss what method is most suited for a particular circumstance.

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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**

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.

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).

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 think dark matter is an awful explanation for an explanation of the "missing matter" problem. We can't see it? Oh it must be invisible?!? Lame.

I have another idea and it is much more simple. It starts with the basic question: What if the gravitational effects come from beyond the edge of our universe?

A couple of points of evidence and a concept appropriated from astronomy:

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