Cluster sampling is a statistical method used when studying large populations, especially when individual elements are not easily accessible. Unlike simple random sampling, where each member of the population has an equal chance of being selected, cluster sampling divides the population into groups, or...
For this to work, you must be completely sure that there is no hidden pattern or hierarchical order in the sampling frame, as this canbiasyour results. For example, suppose you have a list of all the employees in an organization divided by department. If each department list is also organi...
What is homogeneity of variance? Define and provide an example for Cluster sampling. How could pairwise ranking and the ratio method be used in the context of vulnerability analysis? Is one better than the other? Explain. What kind of variables is normally distributed? How to tell if data is...
What is an example of group polarization? What kind of probability problems require a tree diagram? What are cordilleras? What makes a cluster a true cluster rather than just an industry agglomeration? What four elements do we look for when viewing a scatterplot?
DBSCAN is an example of a clustering algorithm which takes a density-based approach to clustering. It uses a density-based spatial clustering approach to create clusters with a density passed in by the user which centers around a spatial centroid. The area immediately around the centroid is refer...
For example, clustering may help an insurance company identify groups of motor insurance policyholders with a high average claim cost. The purpose behind clustering depends on how a company intends to use it, which is largely informed by the industry, the business unit, and what the company is...
What is an example of cluster analysis? They can then feed these variables into a clustering algorithm to perhaps identify the following clusters: Cluster 1:Small family, high spenders. Cluster 2: Larger family, high spenders. Cluster 3: Small family, low spenders. ...
A sample is an unbiased number of observations taken from a population. For an unbiased sample, the selection must be random so that everyone in the population has an equal chance of being added to the group. Sampling Methods Sampling methods refer to the way samples are chosen from the gene...
For example, if a person has three children, this is an example of discrete data. The number of children is fixed—it’s not possible for them to have, say, 3.2 children. Another example of discrete quantitative data could be the number of visits to your website; you could have 150 ...
整群抽样 (Cluster sampling)整群抽样是将总体中各单位归并成若干个互不交叉、互不重复的集合，称之为群；然后以群为抽样单位抽取样本的一种抽样方式。整群抽样应用整群抽样时，要求各群有较好的代表性，即群内各单位的差异要大，群间差异要小。整群抽样的优点是实施方便、节省经费，特别适用于缺乏...