IGCSE Development Studies: Specimen Questions with Answers 36 - 37 of 98
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Passage
Question 36 (1 of 7 Based on Passage)
Explanation
- Stratified sampling: It divides the population by certain characteristics into different homogeneous strata (like, PhD students, masters, bachelors) . Elements in each stratum is homogeneous but are heterogeneous across. After selecting the strata, a simple random sampling or systematic random sampling is done on each stratum to the proportion of each strata.
- Quota Sampling: In quota sampling the population is first segmented into mutually exclusive sub-groups, as in stratified sampling. Then the judgement of the investigator is used in selecting the subjects or units from each segment in a proportion. E. g. Interview took sample of 200 females and 400 males between the age group 35 - 55.
Question 37 (2 of 7 Based on Passage)
Explanation
S. no. | Random Sampling | Non-probability sampling |
1. | It is the method in which elements of the population get an equal opportunity to be selected as a representative sample. | It is a method in which elements of the population are not pre-specified and have unequal opportunity of being a sample |
2. | Selection process is involved is random sampling | Selection process involved is arbitrary |
3. | Results are unbiased due to conclusive nature | Results are biased due to exploratory nature |
4. | Basis of inference in statistical in nature | Basis of inference is analytical in nature. |
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