descriptive statistics

We often regard the society we are living in as a population, but what is exactly defining a population? In a layman term, we may surmise population as all observable subjects inhabiting a certain location. In research context, this interpretation may not present as the least imperfect definition, but we can generalize the idea of “subjects” into entities of interest. Parameters are quantitative summaries, where we derive a general value in interpreting certain aspects of such a population.

To comprehend our surroundings, we rely on processed sensory inputs and infer the best action to respond with. In a more complex (or complicated) situation, we often find recorded inputs more reliable than our sole perception. Recorded inputs are data, which may or may not follow a certain structure. In essence, data is distinguishable based on their properties, resulting in different data types. With more collected data, a particular pattern emerges, where we can observe a peculiar behaviour from one pattern compared to the other. Here we discuss the nature of data, viz. its type and distribution.