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Simple Random Sample Probability Formula:
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Simple Random Sample Probability represents the chance that any single individual in a population will be selected in a simple random sample. It is calculated as the reciprocal of the population size.
The calculator uses the simple random sample probability formula:
Where:
Explanation: In simple random sampling, every individual in the population has an equal chance of being selected, which is exactly 1 divided by the total population size.
Details: Simple random sampling is a fundamental sampling technique where each member of a population has an equal probability of being chosen. This method helps eliminate selection bias and ensures that the sample is representative of the entire population.
Tips: Enter the total population size (must be a positive integer greater than 0). The calculator will compute the probability that any single individual will be selected in a simple random sample.
Q1: What is simple random sampling?
A: Simple random sampling is a sampling method where each member of a population has an equal and independent chance of being selected.
Q2: When should I use simple random sampling?
A: Use simple random sampling when the population is homogeneous and you want to ensure each member has an equal chance of selection without any bias.
Q3: What are the limitations of simple random sampling?
A: It may not be practical for very large populations, can be time-consuming, and may not capture subgroups adequately if they are small.
Q4: How does population size affect the probability?
A: As population size increases, the probability of any single individual being selected decreases proportionally.
Q5: Can this probability be greater than 1?
A: No, probability values range from 0 to 1, where 0 means impossible and 1 means certain.