Stratified random sampling is a method of selecting a sample in which:
a)the sample is first divided into strata, and then random samples are taken from each stratum
b) various strata are selected from the sample
c) the population is first divided into strata, and then random samples are drawn from each stratum
d)None of these alternatives is correct.
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I don't know pa
Step-by-step explanation:
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Option c) the population is first divided into strata, and then random samples are drawn from each stratum is the correct option.
Step-by-step explanation:
- Stratified random sampling is a method of selecting a sample in which the population is first divided into strata, and then random samples are drawn from each stratum.
- It is used to study life expectancy & population demographics.
- Stratification is a process in which the population is classified into strata or groups. Based on the shared characters or attributes of the members, groups or strata are organized.
- It is of 2 types Proportionate & Disproportionate stratified random sampling.
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