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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the ... In any report or article, the structure of the sample must be accurately described. ... data or to solve a particular question using data ...

  3. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

  4. Descriptive statistics - Wikipedia

    en.wikipedia.org/wiki/Descriptive_statistics

    These summaries may either form the basis of the initial description of the data as part of a more extensive statistical analysis, or they may be sufficient in and of themselves for a particular investigation. For example, the shooting percentage in basketball is a descriptive statistic that summarizes the performance of a player or a team ...

  5. HuffPost Data

    projects.huffingtonpost.com

    HuffPost Data. Visualization, analysis, interactive maps and real-time graphics. ... Live election results and related data for Senate, House and governor's races.

  6. Statistical inference - Wikipedia

    en.wikipedia.org/wiki/Statistical_inference

    Statistical inference is the process of using data analysis to infer properties of an underlying probability distribution. [1] Inferential statistical analysis infers properties of a population, for example by testing hypotheses and deriving estimates. It is assumed that the observed data set is sampled from a larger population.

  7. Functional data analysis - Wikipedia

    en.wikipedia.org/wiki/Functional_data_analysis

    Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element of functional data is considered to be a random function.

  8. Multidimensional analysis - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_analysis

    In statistics, econometrics and related fields, multidimensional analysis (MDA) is a data analysis process that groups data into two categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data ...

  9. Replication (statistics) - Wikipedia

    en.wikipedia.org/wiki/Replication_(statistics)

    Example of direct replication and conceptual replication. There are two main types of replication in statistics. First, there is a type called “exact replication” (also called "direct replication"), which involves repeating the study as closely as possible to the original to see whether the original results can be precisely reproduced. [3]

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