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.
Recently, Indian Oil rolled out brand new M15 Petrol which is a 15% blend of Methanol with Petrol in which state?
Which feature film from India won the best documentary in the oscar awards 2023?
For the current fiscal year 2022 -23, the government has increased the agricultural credit target from earlier Rs 16.50 lakh crore to how much _______?
Which portal will enable farmers to showcase their products through their nearby markets and facilitate traders from anywhere to quote price?
Programming language Java was developed by________.
Different substances catch fire at different temperatures. The lowest temperature at which a substance catches fire is called its _________.
Simplify:
72 – 4(40 + 24 ÷ 8 × 6 – 4 × 4) + 20
In which language was ‘Hind Swaraj’ written by Mahatma Gandhi?
The age of the Earth is currently thought to be:
The equipment ‘Shuttlecock’ is required in which sports?
