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Random sampling minimizes bias by giving each individual in a population an equal chance of being selected. This equal probability helps ensure that the sample is representative of the population, reducing the likelihood that certain characteristics will be over- or under-represented. By relying on randomness rather than subjective criteria or convenience, analysts avoid systematic bias, which can skew results. Random sampling is particularly effective in quantitative research where representativeness is crucial for drawing valid, generalizable conclusions about the broader population. The other options are incorrect because: • Option 1 (small sample size) increases the risk of sampling error and may not capture population diversity. • Option 2 introduces bias based on subjective judgment, compromising sample representativeness. • Option 3 (willing participants) leads to self-selection bias, as the sample may differ from the general population. • Option 5 focuses on subgroups, which is useful for subgroup-specific analysis but limits broader generalization.
Which person can be appointed as an agent?
What is the appropriate method for calculating the cost of inventory when there are significant fluctuations in purchase prices?
Calculate the average age of inventory(Assume 360 days in a year):
_________ is NOT a part of Monte Carlo Simulation.
Which of the following assessee is not liable to pay advance tax u/s 207?
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What is relevant for determination of whether the supply is Intra-state or inter-state in GST?
As per General Financial Rules, 2017 who has been given full powers to make their own arrangements for procurement of goods and services, that are not a...
Which of the following section deals with deduction in respect of Interest on deposits in savings/FD account in case of resident senior citizens?