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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 article of the Indian Constitution deals with the power of the President in the context of preventive detention?
Consider the following statements:
1. Chairpersons of the National Human Rights Commission (NHRC) and State Human Rights Commission (SHRC) are ap...
Who among the following leaders dominated the Lucknow Pact in December, 1916?
Mahmoud Abbas, who visited New Delhi recently is the President of
__________ is the first citizen of a city in India.
How many Lok Sabha seats are allocated to Assam?
The Supreme Court of India comprises the Chief Justice and how many other Judges?
According to Article 102 of the Indian Constitution, which of the following statements about disqualifications for membership in either House of Parliam...
Article __ of the Indian Constitution ensures Abolition of Untouchability.
Which house one-third member retires after every 2 years?