Difference between revisions of "OpenOffice.org Internship/Projects/2010/Statistical Data Analysis Tool"

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=Statistical Data Analysis Tool Project=
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=Statistical data analysis tool project=
 
== Overview ==
 
== Overview ==
 
Statistical models are widely used in analysis of different types of data currently.Statistical analysis of data acts a major role in decision making under uncertainty and it is widely used in surveys, research,business and science. Hence it is very useful to have a statistical data analysis tool in a data manipulating application like Calc. The main aspect of the statistical data analysis tool project is to provide the user ability of performing various statistical functions to analyze data in openoffice calc in a very user friendly manner.  
 
Statistical models are widely used in analysis of different types of data currently.Statistical analysis of data acts a major role in decision making under uncertainty and it is widely used in surveys, research,business and science. Hence it is very useful to have a statistical data analysis tool in a data manipulating application like Calc. The main aspect of the statistical data analysis tool project is to provide the user ability of performing various statistical functions to analyze data in openoffice calc in a very user friendly manner.  

Revision as of 08:49, 16 July 2010

Statistical data analysis tool project

Overview

Statistical models are widely used in analysis of different types of data currently.Statistical analysis of data acts a major role in decision making under uncertainty and it is widely used in surveys, research,business and science. Hence it is very useful to have a statistical data analysis tool in a data manipulating application like Calc. The main aspect of the statistical data analysis tool project is to provide the user ability of performing various statistical functions to analyze data in openoffice calc in a very user friendly manner.

Features

This tool includes both Classical and Bayesian statistical analysis methods which can be executed on data very easily.The following is a rough outline of the functions to be implemented.

  • Anova
  • t-test
  • z-test
  • Fisher test
  • Correlation
  • Covariance
  • Descriptive statistics- Mean,median, mode etc
  • Rank
  • Percentile
  • Regression and many more

Project status

  • The project is accepted for the OpenOffice summer internship program 2010
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