Normal Distribution - Six Sigma Material

The normal distribution is generally credited to Pierre-Simon de LaPlace. Karl Gauss is generally given credit for recognition of the normal curve of errors. This curve is also referred to as the�Gaussian Distribution.

Manufacturing processes and natural occurrences frequently create this type of distribution, a unimodal bell curve. The distribution is spread symmetrically around the central...

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Website: http://www.six-sigma-material.com

Related topics : normal distribution right tail table / normal distribution long right tail / normal distribution right tail

Comparing groups for statistical differences: how to ...

Choosing the right statistical test. What do we need to know before we start the statistical analysis?

Question 4: What type(s) of data may we obtain during an experiment?

Answer 4: Basic data collected from an experiment could be either quantitative (numerical) data or qualitative (categorical) data, both of them having some subtypes (4).

The quantitative (numerical) data could be:

1. Discrete...

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Date: 2017-04-03 09:23:46
Website: http://www.biochemia-medica.com

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Excel for Business Statistics - Personal Web Space Basics

The Business Statistics Online Course

Introduction

This site provides illustrative experience in the use of Excel for data summary, presentation, and for other basic statistical analysis. I believe the popular use of Excel is on the areas where Excel really can excel. This includes organizing data, i.e. basic data management, tabulation and graphics. For real statistical analysis on must learn...

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Date: 2013-01-07 17:19:32
Website: http://home.ubalt.edu

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Why do we use a one-tailed test F-test in analysis of ...

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@TaylerJones Levene's test is somewhat more robust. Browne-Forsythe is more robust (but loses a little power near the normal). Fligner-Killeen more so again. In several decades, I've used Levene or Browne-Forsythe no more than twice each. (If it came up again, likely something like Browne-Forsythe would suit me fine but I don't generally have situations where it makes any sense to test...

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Website: http://stats.stackexchange.com

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