1. Descriptive Statistics – which is concerned with the collection, classification, and presentation of data designed to summarize and describe the group characteristics of the data.
Examples: the measure of location, measures of variability, skewness and kurtosis
2. Inferential Statistics – refers to the drawing of conclusions or judgment about a population based or representative sample systematically taken from the same population. It’s aim is to give concise information about large group of data without dealing with each and every element of these groups. So that, if the sample taken is small, certain assumptions and inferences are made based on limited information and if the sample drawn is large, it may be treated as equal to that of the whole observation.
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