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  2. IMRAD - Wikipedia

    en.wikipedia.org/wiki/IMRAD

    In scientific writing, IMRAD or IMRaD (/ ˈ ɪ m r æ d /) (Introduction, Methods, Results, and Discussion) [1] is a common organizational structure for the format of a document. IMRaD is the most prominent norm for the structure of a scientific journal article of the original research type.

  3. Grouped data - Wikipedia

    en.wikipedia.org/wiki/Grouped_data

    Yet another example of grouping the data is the use of some commonly used numerical values, which are in fact "names" we assign to the categories. For example, let us look at the age distribution of the students in a class. The students may be 10 years old, 11 years old or 12 years old. These are the age groups, 10, 11, and 12.

  4. Data collection - Wikipedia

    en.wikipedia.org/wiki/Data_collection

    Example of data collection in the biological sciences: Adélie penguins are identified and weighed each time they cross the automated weighbridge on their way to or from the sea. [ 1 ] Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to ...

  5. Frequency (statistics) - Wikipedia

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

    A frequency distribution shows a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc.

  6. 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]

  7. 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.

  8. Ukrainian mayor laid to rest after death in Russian captivity

    www.aol.com/news/ukrainian-mayor-laid-rest-death...

    "Reports of Ukrainians being detained arbitrarily by Russia's forces are shocking and numerous. They confirm a widespread use of inhuman or degrading treatment and torture," he said.

  9. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Because the whiskers must end at an observed data point, the whisker lengths can look unequal, even though 1.5 IQR is the same for both sides. All other observed data points outside the boundary of the whiskers are plotted as outliers. [10] The outliers can be plotted on the box-plot as a dot, a small circle, a star, etc. (see example below).