Discuss probability or non-probability sampling, sampling method and sample size. Sampling method Sample size Give example

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Research title: The Impact of Logistics and Supply Chain Management on Business Performance.

 

  • Discuss probability or non-probability sampling, sampling method and sample size.

Sampling method

Sample size

Give example

Expert Solution
Step 1: Explaining probability sampling

In probability sampling, every member of the population has a known, non-zero chance of being selected in the sample. This approach allows for more generalizable results. Common methods include:

Simple Random Sampling: Each member of the population has an equal chance of being selected. This is often accomplished using random number generators.

Stratified Sampling: The population is divided into subgroups (or "strata"), and samples are taken from each stratum. This ensures that the sample is representative across all subgroups.

Cluster Sampling: The population is divided into clusters, often geographically, and a random sample of clusters is chosen. Then, all members from these selected clusters are surveyed.

Systematic Sampling: Every nth member from a list is selected, following a random start.

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