Central limit theorem and PRINCE2: Difference between pages

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It states formally that the average of a large number of independent identically distributed random variables will have a normal distribution.
''Project management''.


The central limit theorem is important in sampling theory.  It explains that sample means follow a normal distribution - regardless of the actual distribution of the parent population - and that the sample mean is an unbiased estimate of the parent population mean.
'''PR'''ojects '''IN''' '''C'''ontrolled '''E'''nvironments, version 2, published in 1996.


The central limit theorem also explains why larger samples will - on average - produce better estimates of the parent population mean.


The central limit theorem is sometimes known as the '' law of large numbers''.
The key features of PRINCE2 include:
 
*Emphasis on dividing the project into manageable and controllable stages.
*Flexibility that can be applied at a level appropriate to the project.
 
 
The acronym is sometimes presented as:
 
'''PR'''ojects '''IN''' a '''C'''ontrolled '''E'''nvironment.  
 


== See also ==
== See also ==
* [[Sample]]
* [[Agile]]
* [[Sampling]]
* [[FAST Modelling Standard]]
* [[Project management]]
* [[Waterfall methodology]]
* [[Working effectively with others]]


[[Category:Working_effectively_with_others]]
[[Category:Planning_and_projects]]

Latest revision as of 11:40, 27 May 2021

Project management.

PRojects IN Controlled Environments, version 2, published in 1996.


The key features of PRINCE2 include:

  • Emphasis on dividing the project into manageable and controllable stages.
  • Flexibility that can be applied at a level appropriate to the project.


The acronym is sometimes presented as:

PRojects IN a Controlled Environment.


See also