विधियों की तुलना करें

	वर्णनात्मक सांख्यिकी	Gender Gap Decomposition
क्षेत्र	सांख्यिकी	Gender Studies
परिवार	Hypothesis test	Regression model
उद्भव वर्ष	1977	1973
प्रवर्तक	John W. Tukey	Ronald Oaxaca & Alan Blinder
प्रकार	Summary procedure	Regression-based decomposition of a mean group difference
मौलिक स्रोत	Tukey, J.W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165	Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709.
उपनाम	summary statistics, exploratory data summary, Betimsel İstatistik	Oaxaca-Blinder Decomposition, Blinder-Oaxaca Decomposition, Wage Gap Decomposition
संबंधित	6	3
सारांश	Descriptive statistics is a set of procedures that numerically and visually summarises the essential characteristics of a dataset: central tendency (mean, median, mode), spread (standard deviation, interquartile range), shape (skewness, kurtosis), and frequency distributions. Systematised for applied data analysis by John W. Tukey in his 1977 work on Exploratory Data Analysis, descriptive statistics serves as the indispensable first step before any inferential or modelling procedure.	Gender gap decomposition, most often implemented as the Oaxaca-Blinder decomposition, splits the mean difference in an outcome such as wages between men and women into a part explained by differences in measured characteristics (education, experience, occupation) and an unexplained residual part attributed to differences in how those characteristics are rewarded. Introduced independently by Ronald Oaxaca and Alan Blinder in 1973, it is the workhorse method for quantifying how much of the gender pay gap reflects composition versus differential treatment.