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Explanation: Stratified sampling divides the population into distinct subgroups or strata based on shared characteristics, such as age, income, or geography. A random sample is then taken from each stratum, ensuring that each subgroup is adequately represented in the sample. This method improves the accuracy of analysis, particularly when the population is heterogeneous, by reducing sampling error and increasing statistical efficiency. Stratified sampling is widely used in surveys and studies where subgroup representation is critical. Option A: While stratified sampling optimizes sampling, it does not inherently minimize the sample size but rather focuses on balanced representation. Option C: Bias can be reduced but not completely eliminated, even in stratified sampling, due to potential flaws in subgroup identification. Option D: Selection in stratified sampling is not based on discretion but on random sampling within strata. Option E: Fixed intervals are a characteristic of systematic sampling, not stratified sampling.
There are total ___ SCO permanent member countries.
During lightning, the high temperatures and pressures created in the air convert nitrogen into ________.
The President of India referred the Ayodhya issue to the Supreme Court under which Article?
Which of the following states has the highest number of assembly constituencies?
Which entity was the first credit agency in India?
Wing Commander Gajanand Yadava was awarded the ‘Tenzing Norgay National Adventure Award 2019’ in:
Which one of the following Mars mission ended in 2019?