What is sampling? Explain various methods of sampling? Why sample survey is preferred compared to census survey? Explain.

Sampling is a fundamental concept in statistics, involving the selection of a subset of individuals or items from a larger population to estimate characteristics of the whole population. It plays a crucial role in statistical analysis, as it allows researchers to draw inferences about a population based on data collected from a representative sample. Sampling methods vary in their approach and suitability for different types of populations and research objectives.

There are several methods of sampling, each with its own advantages and disadvantages:

1. Simple Random Sampling: In this method, every member of the population has an equal chance of being selected. It involves randomly selecting individuals from the population without any specific criteria. Simple random sampling is easy to implement and provides an unbiased representation of the population if done correctly.

2. Stratified Sampling: This _________ __________ _______ _____ ____ ______ __________ ________.
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