Cluster sampling, Applied Statistics

Assignment Help:

Cluster Sampling

Here the population is divided into clusters or groups and then Random Sampling is done for each cluster. Cluster Sampling differs from Stratified Sampling. In the case of Stratified Sampling, the elements of each stratum are homogeneous  (there are relatively minor variations within them.) As opposed to this, in Cluster Sampling the elements of each cluster are not homogeneous. Each cluster is representative of the population.

Example

The retailer may use Cluster Sampling as follows:

She would divide the city of Mumbai into 4 - 5 zones say Zone I, Zone II, Zone III, Zone IV and Zone V. From the addresses on the bills she would classify the customers in the following clusters:

         Zone I               customers

         Zone II             customers

         Zone III             customers

         Zone IV            customers

         Zone V             customers

Then she would consider every item within randomly selected clusters. Note that there can be large variation within each cluster. For example, in the cluster of Zone I customers, there could be TV buyers, Stereo buyers and VCR buyers. As opposed to this, in Stratified Sampling there is relatively less variation within each stratum. For example, the stratum of TV buyers would include only those customers who have bought TVs. 


Related Discussions:- Cluster sampling

Determine that the events are mutually exclusive or not, In a study of outc...

In a study of outcomes for patients who had been in the Intensive care Unit (ICU) at a large hospital, the records from last 150 patients who had been in the ICU for more than one

Measures of dispersion, Measures of Dispersion ...

Measures of Dispersion Box 3: Food vs. Oil Below are the figures for foodgrain procurement   and cr

Random sampling method, Random Sampling Method In this method the units...

Random Sampling Method In this method the units are selected in such a way that every item in the whole universe has an equal chance of being included. In the words of croxton

Multiple correspondence analysis, Correspondence Analysis (CA) is a general...

Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated

Business forecasting, Meaning and Definitions of Business Forecasting T...

Meaning and Definitions of Business Forecasting The problem of business  forecasting  refers to the  analysis  of the past and  present economic  conditions. With  the objectiv

Canonical correlation analysis, Canonical correlation analysis (CC) allows ...

Canonical correlation analysis (CC) allows the investigation of the relationship between two ,sets of variables. For example, a sociologist may want to investigate the Relationship

Evaluate standard deviation, Consider an MBA program as a processing networ...

Consider an MBA program as a processing network where the flow unit consists of a student in the program.  Suppose the organizations that hire and promote MBAs are considered to be

Cluster sampling, Cluster Sampling Here the population is divide...

Cluster Sampling Here the population is divided into clusters or groups and then Random Sampling is done for each cluster. Cluster Sampling differs from Stratified Sampl

Two-tailed and one-tailed tests, If the test is two-tailed, H1:  μ ≠  μ 0  ...

If the test is two-tailed, H1:  μ ≠  μ 0  then the test is called two-tailed test and in such a case the critical region lies in both the right and left tails of the sampling distr

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd