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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  3. Quantitative research - Wikipedia

    en.wikipedia.org/wiki/Quantitative_research

    Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...

  4. Statistical theory - Wikipedia

    en.wikipedia.org/wiki/Statistical_theory

    The theory of statistics provides a basis for the whole range of techniques, in both study design and data analysis, that are used within applications of statistics. [1] [2] The theory covers approaches to statistical-decision problems and to statistical inference, and the actions and deductions that satisfy the basic principles stated for these different approaches.

  5. Dye in Doritos used in experiment that, like a 'magic trick ...

    www.aol.com/news/dye-doritos-used-experiment...

    Doritos are a revered snack for many. Now, scientists have found one of the ingredients in the triangle-shaped tasty tortilla chips has a superpower – it can make the skin of mice transparent.

  6. Methodology - Wikipedia

    en.wikipedia.org/wiki/Methodology

    [12] [13] This study or analysis involves uncovering assumptions and practices associated with the different methods and a detailed description of research designs and hypothesis testing. It also includes evaluative aspects: forms of data collection, measurement strategies, and ways to analyze data are compared and their advantages and ...

  7. Empirical research - Wikipedia

    en.wikipedia.org/wiki/Empirical_research

    Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.

  8. Multimethodology - Wikipedia

    en.wikipedia.org/wiki/Multimethodology

    Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.

  9. Topological data analysis - Wikipedia

    en.wikipedia.org/wiki/Topological_data_analysis

    Topological data analysis and persistent homology have had impacts on Morse theory. [121] Morse theory has played a very important role in the theory of TDA, including on computation. Some work in persistent homology has extended results about Morse functions to tame functions or, even to continuous functions [citation needed]. A forgotten ...