RESEARCH METHODOLOGY

Detailed explanation-1: -Inferential statistics helps to compare data, make hypotheses and predictions. Descriptive statistics explains already known data related to a particular sample or population of a small size. Inferential statistics, however, aims to draw inferences or conclusions about a whole population.

Detailed explanation-2: -Inferential statistics is a way of making inferences about populations based on samples.

Detailed explanation-3: -Inferential statistics are used to draw conclusions about a population. A population is a relatively large group of cases that represents all the cases that the researcher is interested in. For instance, if the researcher is exploring what factors influence legislative behavior, the population may be all legislators.

Detailed explanation-4: -The goal of inferential statistics is to discover some property or general pattern about a large group by studying a smaller group of people in the hopes that the results will generalize to the larger group.

Detailed explanation-5: -Inferential statistics are used to make conclusions, or inferences, based on the available data from a smaller sample population. This is often done by analyzing a random sampling from a much broader data set, like a larger population. Conclusions drawn from this sample are applied across the entire population.