The of a research study is the probability that it will produce a statistically significant result if the research hypothesis is true.

The "statistical power" of a research study is the probability that it will produce a statistically significant result if the research hypothesis is true.
Statistical power refers to the probability that an examination will distinguish an impact when there is an impact there to be recognized. On the off chance that statistical power is high, the likelihood of making a Type II error, or finishing up there is no impact when, truth be told, there is one, goes down. Statistical power is influenced essentially by the span of the impact and the extent of the example used to recognize it.

Urban growth invariably feeds increased commercialization and industrialization. it requires continually expanding land areas. when urbanization rates are high, and countries do not have the institutional and managerial capacities or economic wherewithal to manage such rapid growths, they exert intense pressure on the types and nature of the resulting settlements. they contribute to the development of overcrowded slums and shanty towns without adequate essential services and necessary infrastructure.-by asit k. biswas and cecilia tortajada

Afine-grained igneous rock forms as a result of slow cooling.