Sampling And Non Sampling Methods Ppt, The document discusses census and sampling methods in statistical data collection, noting the importance of identifying a population before selecting samples. It describes probability sampling methods like simple random sampling and systematic sampling which allow every unit in the population to have a chance of being selected. Key factors in sampling like sample size, target population Jul 23, 2025 · Two primary categories of sampling techniques are probability sampling and non-probability sampling. The document explains how each method works with It also covers non-probability sampling techniques such as convenience sampling, purposive sampling, volunteer sampling, quota sampling, snowball sampling, and consecutive sampling. Aug 23, 2021 · This presentation educates you about Non-Probability Sampling, Types of non-probability sampling, When to use non-probability sampling?, Advantages of non-probability sampling and difference. Chapter 5. Presenter – Anil Koparkar Moderator – Bharambhe sir. Jan 4, 2025 · Understand statistical sampling methods and its application to draw valid conclusions about a population. It then explains different random sampling techniques like simple random sampling, systematic sampling, stratified random sampling, cluster sampling, and multi-stage sampling. There are two main types of sampling techniques: probability sampling which uses random selection to give all members an equal chance of selection, and non-probability sampling which does not use randomization.

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