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Random sampling implies
- a)Haphazard sampling
- b)Probability sampling
- c)Systematic sampling
- d)Sampling with the same probability for each unit
Correct answer is option 'D'. Can you explain this answer?
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Random sampling impliesa)Haphazard samplingb)Probability samplingc)Sys...
Random Sampling Explanation:
Random sampling is a method used in statistics and research in which a subset of individuals or items from a larger population is selected in a random manner. This technique ensures that each member of the population has an equal opportunity to be chosen as part of the sample.
Key Points:
- Random sampling implies sampling with the same probability for each unit.
- This means that every element in the population has an equal chance of being selected for the sample.
- Random sampling helps to reduce bias and ensure that the sample is representative of the population.
- It is different from haphazard sampling, which involves selecting individuals based on convenience or availability.
- Random sampling is also distinct from probability sampling methods such as stratified sampling or cluster sampling, which involve dividing the population into subgroups and then selecting samples from each subgroup systematically.
In conclusion, random sampling is a fundamental technique in statistics that ensures unbiased and representative samples by giving each unit in the population an equal probability of being selected.
Random sampling is a method used in statistics and research in which a subset of individuals or items from a larger population is selected in a random manner. This technique ensures that each member of the population has an equal opportunity to be chosen as part of the sample.
Key Points:
- Random sampling implies sampling with the same probability for each unit.
- This means that every element in the population has an equal chance of being selected for the sample.
- Random sampling helps to reduce bias and ensure that the sample is representative of the population.
- It is different from haphazard sampling, which involves selecting individuals based on convenience or availability.
- Random sampling is also distinct from probability sampling methods such as stratified sampling or cluster sampling, which involve dividing the population into subgroups and then selecting samples from each subgroup systematically.
In conclusion, random sampling is a fundamental technique in statistics that ensures unbiased and representative samples by giving each unit in the population an equal probability of being selected.
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Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer?
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Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer?.
Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Random sampling impliesa)Haphazard samplingb)Probability samplingc)Systematic samplingd)Sampling with the same probability for each unitCorrect answer is option 'D'. Can you explain this answer?.
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