How is stratified sampling carried out?
Divide the population into mutually exclusive, internally homogeneous strata and select a random sample from each stratum.
Stratified sampling divides the population into mutually exclusive strata and draws a random sample from each. The strata are designed to be internally homogeneous for relevant characteristics; their sample sizes may be equal, proportional or otherwise allocated.
Match List I with List II :
List – I (Limits) | List – II (% of area in NPC) | ||
(a) | –2 sigma to –1 sigma | (I) | 95.44 |
(b) | 0 to + 2 sigma | (II) | 13.59 |
(c) | –1 to +2 sigma | (III) | 72.67 |
(d) | –2 sigma to +2 sigma | (IV) | 81.85 |
(V) | 47.72 | ||
If a sample of 100 is to be taken from a population of 1000 farmers consisting of marginal small and large farmers, which of the following will be the most appropriate sampling method ?
Which one of the following random sampling techniques become more appropriate for homogeneous population groups?