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What Is The Difference Between Systematic Sampling And Stratified Random Sampling?

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amber Jhon Profile
amber Jhon answered
Systematic sampling and stratified sampling are the types of probability sampling design. Systematic sampling has slightly variation from simple random sampling. Here only the first sampling unit is selected at random and the remaining units are automatically selected in a definite sequence at equal intervals.

When the population to be studied is not homogeneous with respect to a variable or characteristic under study then it is divided into small homogeneous groups called strata. Item within each strata are homogeneous with respect to characteristic under study. From each stratum a simple random sample is selected in proportion to the sample size and the over all sample is obtained by combining the samples for all strata.
Anju Jangir Profile
Anju Jangir answered
In systematic sampling the first number is selected randomaly and then every nth element is selected until the desired number of sample is secured.It is convenient but  it may gives more bias in results.it is reliable only when the sampling frame is available in forms of list.

When the population to be studied, does not constitute a homogeneous group,then it is divided into small homogeneous groups which are known as strata.Then sample items are selected from each stratum which represents whole population.This sampling gives more reliable results.

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