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The simplest case of a normal distribution is known as the standard normal distribution or unit normal distribution. This is a special case when μ = 0 {\textstyle \mu =0} and σ 2 = 1 {\textstyle \sigma ^{2}=1} , and it is described by this probability density function (or density): φ ( z ) = e − z 2 2 2 π . {\displaystyle \varphi (z ...
Google's service for Indic languages was previously available as an online text editor, named Google Indic Transliteration. Other language transliteration capabilities were added (beyond just Indic languages) and it was renamed simply Google transliteration.
Thus, a Phonetic Roman Alphabet converter is also available on the Hindi Wikipedia, so the Roman keyboard can be used to contribute in Hindi, without having to use any special Hindi-typing software. Hindi Wikipedia is the second most popular Wikipedia in India after the English version. More than 85% of Wikipedia pageviews from India are to the ...
Devanagari is an Indic script used for many Indo-Aryan languages of North India and Nepal, including Hindi, Marathi and Nepali, which was the script used to write Classical Sanskrit. There are several somewhat similar methods of transliteration from Devanagari to the Roman script (a process sometimes called romanisation ), including the ...
Skew normal distribution; Skewed generalized t distribution; Slash distribution; Split normal distribution; Standard normal deviate; Standard normal table; Student's t-distribution; Sum of normally distributed random variables
The equidensity contours of a non-singular multivariate normal distribution are ellipsoids (i.e. affine transformations of hyperspheres) centered at the mean. [29] Hence the multivariate normal distribution is an example of the class of elliptical distributions.
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.