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.
Professional communications made under S. 126 of the Indian Evidence Act, 1872 are applicable to:
Provisions as to the Administration of Tribal Areas as to Assam, Meghalaya, Tripura and Mizoram is in which schedule of the Constitution of India?
On an application made to ______________by the company, a company limited by shares or limited by guarantee and having a share capital may, by a special...
What are the circumstances under which a man is said to have committed the offence of rape?
Subsistence allowance has to be paid by decree holder, if not paid_____
The parties may agree to resolve their disputes by fast track procedure _____
Which of the following is not included in the deflaition of 'Immovable Property within meaning of Sec 3 of the Transfer of Property Act?
Formal Certificate of dishonor issued by the Notary Public to the holder of Bill or Note on his demand, is called as:
The doctrine of Caveat Emptor means____________
Section 13 of CPC provides that a Foreign Judgement shall ______?
