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# Stratified Random Sampling

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### Stratified Random Sampling

1. 1. STRATIFIED RANDOM SAMPLING
2. 2. <ul><li>Presentation Compiled By : </li></ul><ul><li>Ankita Sheth </li></ul><ul><li>Nishant Bhrambhatt </li></ul><ul><li>Joy Macwan </li></ul>
3. 3. Introduction <ul><li>Stratified sampling technique is generally applied in order to obtain a representative sample. Under stratified sampling, the population is divided into several sub-populations that are individually more homogeneous than the population and the different sub-populations are called ‘strata’ and then we select items from each stratum to constitute a sample. </li></ul>
4. 4. Highly Relevant Questions <ul><li>How to form strata? </li></ul><ul><li>How should items be selected from each stratum? </li></ul><ul><li>How to allocate the sample size of each stratum? </li></ul>
5. 5. How to form strata? <ul><li>As we can say that strata be formed on the basis of common characteristics of the items in each stratum. Strata are usually based on past experience and personal judgment of the researcher. We can take small samples of equal size from the proposed strata and then examining the variances among the possible stratifications. </li></ul>
6. 6. How should items be selected from each stratum? <ul><li>For selection of items from each stratum, Systematic Sampling can be used if it is considered more appropriate in certain situations. </li></ul>
7. 7. How to allocate the sample size of each stratum? <ul><li>We usually follow the method of proportional allocation under which the sizes of the samples from the different strata are kept proportional to the sizes of the strata. </li></ul>