পদ্ধতির তুলনা করুন

	শক্তিশালী বর্ণনামূলক পরিসংখ্যান (Robust Descriptive Statistics)	Robust Independent Samples t-test
ক্ষেত্র	পরিসংখ্যান	পরিসংখ্যান
পরিবার	Hypothesis test	Hypothesis test
উদ্ভবের বছর	1960s–1970s	1974–1990s
প্রবর্তক	John W. Tukey, Peter J. Huber, Frank Hampel	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
ধরন	Resistant summary measures	Robust parametric mean comparison
মৌলিক উৎস	Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley. ISBN: 978-0201076165	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
অপর নাম	resistant statistics, outlier-resistant summary statistics, robust summary measures, robust location and scale estimation	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
সম্পর্কিত	5	2
সারসংক্ষেপ	Robust descriptive statistics summarize the location, spread, and shape of a dataset using measures that remain meaningful even when a fraction of the data contains outliers or severe departures from normality. Core tools include the median, trimmed mean, interquartile range (IQR), and median absolute deviation (MAD), all of which are resistant to contamination that would distort the classic mean and standard deviation.	The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.