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  2. Normalization (statistics) - Wikipedia

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

    Normalizing residuals when parameters are estimated, particularly across different data points in regression analysis. Standardized moment: Normalizing moments, using the standard deviation as a measure of scale. Coefficient of variation

  3. Standard score - Wikipedia

    en.wikipedia.org/wiki/Standard_score

    Comparison of the various grading methods in a normal distribution, including: standard deviations, cumulative percentages, percentile equivalents, z-scores, T-scores. In statistics, the standard score is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured.

  4. Normality test - Wikipedia

    en.wikipedia.org/wiki/Normality_test

    A graphical tool for assessing normality is the normal probability plot, a quantile-quantile plot (QQ plot) of the standardized data against the standard normal distribution. Here the correlation between the sample data and normal quantiles (a measure of the goodness of fit) measures how well the data are modeled by a normal distribution. For ...

  5. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    In machine learning, we can handle various types of data, e.g. audio signals and pixel values for image data, and this data can include multiple dimensions. Feature standardization makes the values of each feature in the data have zero-mean (when subtracting the mean in the numerator) and unit-variance.

  6. Why colleges are adopting standardized tests again

    www.aol.com/why-colleges-adopting-standardized...

    Standardized test scores might be the best success indicator for lower-income students. With conflicting data on standardized tests, holistic admissions have gained favor in recent years, an ...

  7. Standardized coefficient - Wikipedia

    en.wikipedia.org/wiki/Standardized_coefficient

    In statistics, standardized (regression) coefficients, also called beta coefficients or beta weights, are the estimates resulting from a regression analysis where the underlying data have been standardized so that the variances of dependent and independent variables are equal to 1. [1]

  8. Data definition specification - Wikipedia

    en.wikipedia.org/wiki/Data_definition_specification

    A data definition specification requires data definitions to be: Atomic – singular, describing only one concept. Commonly used and ambiguous terms should be defined. [2] While a term refers to one concept, several words may be used in a term: File – A concept identifiable with one word; File extension – A concept identifiable with more ...

  9. Why Some Schools Are Rethinking Standardized Tests

    www.aol.com/why-schools-rethinking-standardized...

    The first standardized tests began at the turn of the 20th century, after the founding of the College Board. The non-profit organization still administers the SAT today.