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What is a key characteristic of Probability Sampling?
  • a)
    Every item in the population has an equal chance of being included in the sample
  • b)
    Selection of sample units is based on the researcher's judgment
  • c)
    It is a cost-effective sampling method
  • d)
    It does not allow researchers to calculate confidence intervals
Correct answer is option 'A'. Can you explain this answer?
Verified Answer
What is a key characteristic of Probability Sampling?a)Every item in t...
Probability Sampling, also known as random sampling, ensures that every item in the population has an equal chance of being included in the sample. This method allows researchers to estimate the accuracy of their findings, calculate margins of error, and determine confidence levels based on the principles of probability.

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What is a key characteristic of Probability Sampling?a)Every item in t...
Key Characteristic of Probability Sampling
Probability sampling is a fundamental concept in statistical research that ensures each member of a population has a known chance of being selected. Here’s a detailed explanation of why option 'A' is the correct answer:
Equal Chance of Selection
- In probability sampling, every item in the population has an equal chance of being included in the sample. This characteristic is crucial because it helps to eliminate selection bias, making the sample representative of the entire population.
Types of Probability Sampling
- There are various methods of probability sampling, such as simple random sampling, stratified sampling, and cluster sampling. Each method maintains the principle of equal opportunity for each member of the population.
Importance of Randomness
- The randomness in selecting samples allows researchers to make valid inferences about the population. Since every individual has a chance to be included, the results can be generalized with higher accuracy.
Confidence Intervals
- Unlike non-probability sampling, probability sampling enables researchers to calculate confidence intervals. This statistical measure provides insight into the reliability of the results, which is critical for drawing conclusions.
Contrasting with Other Methods
- In contrast to probability sampling, non-probability sampling relies on the researcher’s judgment or convenience, making it less reliable for representing the population.
In summary, probability sampling's defining feature is that it ensures every member of the population has an equal chance of selection, which is vital for achieving unbiased and generalizable results in research.
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