Difference between revisions of "Whitepapers"

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'''Generating independent sample t-statistics with mTAB in comparison to SPSS'''
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'''Generating Independent Sample t-statistics with mTAB in comparison to SPSS'''
  
Significance testing using t-statistics is a critical component of the analysis of survey research data. mTAB enables the survey analyst to conveniently perform significance testing including the ability to colorize the results of significantly different observations within mTAB's spreadsheet report view...Download whitepaper PDF file.
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Significance testing using t-statistics is a critical component of the analysis of survey research data. mTAB enables the survey analyst to conveniently perform significance testing including the ability to colorize the results of significantly different observations within mTAB's spreadsheet report view.
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:[http://support.mtabsurveyanalysis.com/sites/default/files/pdf_files/mTAB_WP_TSTAT_Statistics.pdf PDF: Generating Independent Sample T-Stats - Whitepaper]

Revision as of 18:46, 26 August 2013

Generating Independent Sample t-statistics with mTAB in comparison to SPSS

Significance testing using t-statistics is a critical component of the analysis of survey research data. mTAB enables the survey analyst to conveniently perform significance testing including the ability to colorize the results of significantly different observations within mTAB's spreadsheet report view.

PDF: Generating Independent Sample T-Stats - Whitepaper