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In a positively skewed distribution, the tail extends to the right, pulling the mean higher than the median. This occurs because extreme high values disproportionately influence the mean compared to the median, which is less sensitive to outliers. For example, income data often exhibits positive skewness because a few individuals earn much more than the majority. Understanding skewness helps in choosing the right statistical methods for analysis, as normality assumptions might not hold. Why Other Options Are Wrong : A) Normally distributed data has the mean and median roughly equal. C) Negative skewness occurs when the tail extends to the left, causing the median to exceed the mean. D) Outliers often cause skewness; their absence suggests symmetry. E) The mode can vary and isn’t always lower than the mean in skewed data.
Which of the following State/ UT has been declared as Free Area for purposes of Prevention and Control of Infectious and Contagious Diseases in Animal...
Under dryland farming situation which practice is most prominent?
___________ weir is known as Cipoletti weir.
Which of the following material is prohibited in organic farming?
The approximate number of orange plants in one hectare would be:
What is the name of the scheme that the Uttar Pradesh government plans to implement for protecting crops from stray animals?
Watershed is synonym with
Indicator of faecal contamination of water is
Submergence increases the availability of
Lab to Land Programme was launched by