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Quantitative Data Analysis
- Summary • 7 pages • 2020
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A summary of ALL the important quantitative data analysis methods. The summary looks at the THEORY behind the analysis, the ASSUMPTIONS for each analysis, and explains the different methods; both how they are used and what they explain. 

Topics include: Multivariate data analysis, independent-sample T-test, ANOVA, F-Test, crosstabs, Multiple regression, logistic regression, conjoint analysis and full-profile analysis.
Summary
Quantitative Data Analysis
Last document update:
ago
A summary of ALL the important quantitative data analysis methods. The summary looks at the THEORY behind the analysis, the ASSUMPTIONS for each analysis, and explains the different methods; both how they are used and what they explain. 

Topics include: Multivariate data analysis, independent-sample T-test, ANOVA, F-Test, crosstabs, Multiple regression, logistic regression, conjoint analysis and full-profile analysis.
$3.90
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