Example: A worker wants to determine the average weight of fish fillets in its freezer. There are hundreds of boxes of fillets in the freezer.(1) He defines each box of fish as a cluster (hence there are hundreds of clusters)(2) He randomly selects 10 boxes of fish (cluste...
Both cluster and stratified sampling have the researchers divide the population into subgroups, and both are probability sampling methods that aim to obtain a representative sample. However, beyond those similarities, the goals and techniques are strikingly different. The table highlights the differences ...
The clusters in cluster sampling do not have to be exactly the same size, but the groups within stratified random sampling should be proportional to the groups they represent. For example, if the dance department is 70% female, 20% male, and 10% non-binary the random sample should have ...
Example of Two-Stage Cluster Sampling A garment manufacturer has N = 90 plants located throughout the United States and wants to estimate the average number of hours that the sewing machines were down for repairs in the past months. Because the plants are widely scattered, she decides to use...
Cluster sampling is a probability sampling technique where researchers divide the population into multiple groups (clusters) for research. So, researchers then select random groups with a simple random or systematic random sampling technique for data collection and unit of analysis. Example: A researcher...
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The example will make this clearer.The first survey, as shown in Figure 5-1, follows a two-stage sampling process with the threeclusters selected with probability proportionate to size at the first stage. At the second stage, thesampling units (i.e., persons) are listed only for those ...
The quality of statistical inference is dependent not only on, for example, estimator construction but on the structure of a population and a sampling scheme too. For example, let the estimation of total wheat production in a population of farms be considered. The population of farms is divided...
Cluster sampling is a sampling method in which the entire population is divided into externally, homogeneous but internally, heterogeneous groups.
The important thing to remember about thissampling techniqueis to give all the clusters equal chances of being selected. Types of Cluster Sample One-Stage Cluster Sample Recall the example given above; one-stage cluster sample occurs when the researcher includes all the high school students from al...