Stratified sampling examples

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(Example 1)
(Example 1)
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[[File:5.1.3-fig73.png|right|thumb|300px|'''Figure 1''' Example population (deVries 1986)]]
 
[[File:5.1.3-fig73.png|right|thumb|300px|'''Figure 1''' Example population (deVries 1986)]]
 
  
 
Imagine the example population of <math>N=30</math> elements be subdivided into three strata as in figure 2. Here, stratification has been done arbitrarily into three strata of size 14, 8 and 8. From this stratified population, we wish to take a sample of <math>n=10</math>, taking <math>n_1=4</math> from the first stratum and <math>n_2=n_3=3</math> from the other two strata. The stratum parametric means and variances are given in table 1.                 
 
Imagine the example population of <math>N=30</math> elements be subdivided into three strata as in figure 2. Here, stratification has been done arbitrarily into three strata of size 14, 8 and 8. From this stratified population, we wish to take a sample of <math>n=10</math>, taking <math>n_1=4</math> from the first stratum and <math>n_2=n_3=3</math> from the other two strata. The stratum parametric means and variances are given in table 1.                 
 
  
 
'''Table 1''' Stratum parameters for the stratified example population.
 
'''Table 1''' Stratum parameters for the stratified example population.
  
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'''Table 2''' Calculation of parametric population mean from the parametric strata means.
 
'''Table 2''' Calculation of parametric population mean from the parametric strata means.
  
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Revision as of 20:07, 16 December 2010

Example 1

This example shows stratified sampling by the example population from figure 1.

Figure 1 Example population (deVries 1986)

Imagine the example population of \(N=30\) elements be subdivided into three strata as in figure 2. Here, stratification has been done arbitrarily into three strata of size 14, 8 and 8. From this stratified population, we wish to take a sample of \(n=10\), taking \(n_1=4\) from the first stratum and \(n_2=n_3=3\) from the other two strata. The stratum parametric means and variances are given in table 1.

Table 1 Stratum parameters for the stratified example population.

Stratum \(N_h\,\) \(n_h\,\) \(\mu_h\,\) \(\sigma_h^2\,\)
1 14 4 6.29 3.49
2 8 3 10.13 4.86
3 8 3 5.38 2.48

Calculation in stratified sampling is best done in tabular format, first per stratum and then combining the per-stratum results to the values / estimations for the entire population. The estimation of the mean is illustrated in Table 2 and results – as expected – in the parametric mean without stratification. Table 3 presents the calculation of the parametric error variance for \(n=10\) and the defined allocation of samples to the three strata.

Table 2 Calculation of parametric population mean from the parametric strata means.

Stratum Stratum mean Weight \((W_h)\) mean*weight
1 6.29 0.466667 2.9333
2 10.13 0.266667 2.7000
3 5.38 0.266667 1.4333
7.0667


Figure 2 Subdividing the example population (arbitrarily) in three strata, for illustration purposes
Construction.png sorry: 

This section is still under construction! This article was last modified on 12/16/2010. If you have comments please use the Discussion page or contribute to the article!

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