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There are many advantages of using the stratified random sampling. Some of them are, ability to reduce human potential in choosing the cases in sample, statistical conclusion fro data collected, improving representation of strata etc.
Total dust sampling, in the traditional usage, refers to all dust particles that can be effectively collected using a filter cassette.
Using sample that does not match the population
You can use statistical tests appropriate for categorical data, such as chi-square tests or Fisher's exact test for associations between variables. For continuous data, you can use t-tests or non-parametric tests like Mann-Whitney U test or Kruskal-Wallis test. It's important to consider the limitations of quota sampling in interpreting the results.
Sampling Theorum is related to signal processing and telecommunications. Sampling is the process of converting a signal into a numeric sequence. The sampling theorum gives you a rule using DT signals to transmit or receive information accurately.
Random sampling is picking a subject at random. Systematic sampling is using a pattern to pick subjects, I.e. picking every third person.
Calculations or comparisons made using the collected data
sampling
sampling
sampling is a one type of process use for converting into analog signal to digital signal.
Systematic sampling
try researching about total enumeration technique... it's the other name for universal sampling technique ^_^ Good luck..