Example: If you were asked to sample 100 fellows students in your school about soft drink preferences for the school shop, it would be more accurate if, instead of asking 100 friends, you split the school up into certain strata, such as class groups, ages or gender. So if the whole school contains 1000 students of whom 50 are girls in year group 8, an accurate sample of 100 would contain five girls from group 8 (50/1000x100). This process would be repeated with all year groups until the total required sample of 100 was reached. The people to be surveyed in each stratum should be selected randomly..
Hope this example helps..
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They include: Simple random sampling, Systematic sampling, Stratified sampling, Quota sampling, and Cluster sampling.
simple random, stratified sampling, cluster sampling
Nothing! there the same
You can't conduct startified sampling if there are no difinative groups, thus systematic sampling is more efficient if your data has no groups.