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Sampling in Research

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The presentation of research findings

The formulation of research hypotheses

The process of selecting a representative group from a larger population (correct)

The analysis of collected data

To eliminate the need for data analysis

To draw conclusions about a larger population based on a smaller sample (correct)

To ensure that the collected data is biased

To make data collection more convenient

It involves analyzing all available data (correct)

It has no impact on the validity of research findings

It always results in biased outcomes

It is unnecessary in the research process

Sampling refers to the process of selecting a subset of individuals or cases from a larger population, called a sample, to represent the entire population.

The primary purpose of sampling is to enable researchers to make inferences about a larger population based on a smaller, more manageable group of participants.

A common misconception is that a larger sample size is always better, whereas in reality, a large sample size does not necessarily guarantee accuracy or representativeness.