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(Direction 1 - 27) Answer the following questions. Each question carries one mark.
Q. Sampling can be described as a statistical procedure
- a)To infer about the unknown universe from a knowledge of any sample
- b)To infer about the known universe from a knowledge of a sample drawn from it
- c)To infer about the unknown universe from a knowledge of a random sample drawn from it
- d)Both (a) and (b).
Correct answer is option 'C'. Can you explain this answer?
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(Direction 1 - 27) Answer the following questions. Each question carri...
Sampling can be described as a statistical procedure
Sampling is a statistical procedure commonly used in research and data analysis. It involves selecting a subset of individuals or items from a larger population or universe of interest. The goal of sampling is to make inferences or generalizations about the entire population based on information obtained from the sample.
To infer about the unknown universe from a knowledge of any sample
One possible option is that sampling allows us to infer about the unknown universe from a knowledge of any sample. However, this statement is not accurate because the sample must be representative of the population in order for valid inferences to be made. If the sample is biased or not representative, the inferences drawn from the sample may not accurately reflect the characteristics of the population.
To infer about the known universe from a knowledge of a sample drawn from it
Another possible option is that sampling allows us to infer about the known universe from a knowledge of a sample drawn from it. This statement is also not accurate because if we already have knowledge about the entire population, there is no need to draw a sample and make inferences. In this case, we can directly analyze the entire population.
To infer about the unknown universe from a knowledge of a random sample drawn from it
The correct option is that sampling allows us to infer about the unknown universe from a knowledge of a random sample drawn from it. This means that if a random sample is selected from a population, the characteristics and behaviors observed in the sample can be used to make inferences about the entire population. Random sampling helps to ensure that the sample is representative of the population, reducing the risk of bias and increasing the generalizability of the findings.
In summary, sampling is a statistical procedure used to make inferences about an unknown universe or population. The most accurate statement is that sampling allows us to infer about the unknown universe from a knowledge of a random sample drawn from it. Random sampling is crucial in ensuring the validity and reliability of the inferences made from the sample to the population.
Sampling is a statistical procedure commonly used in research and data analysis. It involves selecting a subset of individuals or items from a larger population or universe of interest. The goal of sampling is to make inferences or generalizations about the entire population based on information obtained from the sample.
To infer about the unknown universe from a knowledge of any sample
One possible option is that sampling allows us to infer about the unknown universe from a knowledge of any sample. However, this statement is not accurate because the sample must be representative of the population in order for valid inferences to be made. If the sample is biased or not representative, the inferences drawn from the sample may not accurately reflect the characteristics of the population.
To infer about the known universe from a knowledge of a sample drawn from it
Another possible option is that sampling allows us to infer about the known universe from a knowledge of a sample drawn from it. This statement is also not accurate because if we already have knowledge about the entire population, there is no need to draw a sample and make inferences. In this case, we can directly analyze the entire population.
To infer about the unknown universe from a knowledge of a random sample drawn from it
The correct option is that sampling allows us to infer about the unknown universe from a knowledge of a random sample drawn from it. This means that if a random sample is selected from a population, the characteristics and behaviors observed in the sample can be used to make inferences about the entire population. Random sampling helps to ensure that the sample is representative of the population, reducing the risk of bias and increasing the generalizability of the findings.
In summary, sampling is a statistical procedure used to make inferences about an unknown universe or population. The most accurate statement is that sampling allows us to infer about the unknown universe from a knowledge of a random sample drawn from it. Random sampling is crucial in ensuring the validity and reliability of the inferences made from the sample to the population.
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(Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. Can you explain this answer?
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(Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. 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 (Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. 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 (Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. Can you explain this answer?.
(Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. 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 (Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. 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 (Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. Can you explain this answer?.
Solutions for (Direction 1 - 27) Answer the following questions. Each question carries one mark.Q. Sampling can be described as a statistical procedurea)To infer about the unknown universe from a knowledge of any sampleb)To infer about the known universe from a knowledge of a sample drawn from itc)To infer about the unknown universe from a knowledge of a random sample drawn from itd)Both (a) and (b).Correct answer is option 'C'. Can you explain this answer? in English & in Hindi are available as part of our courses for CA Foundation.
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