This document discusses sampling and related statistical concepts. It defines sampling as selecting a portion of units from a population to study in order to make generalizations about the larger population. It outlines different types of probability and non-probability sampling methods and discusses the concepts of sampling distribution and sample error.

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2.  What is Sampling?
 Types of Sampling
 Sampling Distribution
 Sample Error
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4. Sampling is the process of selecting a portion
generally small portion of units (e.g. people,
organizations) from a population of interest so
that by studying the sample we may fairly
generalize our results back to the population
from which they were chosen.
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6. Probability/
Random Sampling
Simple Random
Sampling
Systematic
Sampling
Stratified
Sampling
Cluster Sampling
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7. Non-Random/
Non-Probability Sampling
Convenience
Sampling
Judgement
Sampling
Quota Sampling
Shopping-Mall
Intercept Sampling
Snowball Sampling
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8. A probability distribution of all possible means
of samples is a distribution of the sample
means. In statistical term this is known as
Sample Distribution.
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10. The standard deviation of the distribution of a
sample statistic is known as the standard error of
the statistic or Sample error.
𝑺𝒕𝒂𝒏𝒅𝒂𝒓𝒅 𝒆𝒓𝒓𝒐𝒓 𝒐𝒇 𝒕𝒉𝒆 𝒎𝒆𝒂𝒏 (𝝈 𝒙 ) =
𝝈
𝒏
𝜎 = 𝑃𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛 𝑆𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝐷𝑒𝑣𝑖𝑎𝑡𝑖𝑜𝑛
𝑛 = 𝑆𝑎𝑚𝑝𝑙𝑒 𝑆𝑖𝑧𝑒
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