Question:

What type of sampling ensures that every member of the population has an equal chance of being selected?

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\textbf{Equal chance for all} = \textbf{Random Sampling}.
Think: Lottery method.
Updated On: Mar 20, 2026
  • Stratified Sampling
  • Systematic Sampling
  • Random Sampling
  • Purposive Sampling
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The Correct Option is C

Solution and Explanation

Concept: Sampling methods are used in research to select a subset of a population. The goal is to obtain a representative sample while minimizing bias.
Step 1: Understanding the key condition.
The question specifies that every member of the population has an equal chance of selection.
Step 2: Identifying the correct sampling method.
This condition is the defining feature of Random Sampling (also called Simple Random Sampling), where each individual has an equal probability of being chosen.
Step 3: Eliminating incorrect options.
  • Stratified Sampling divides the population into subgroups before sampling.
  • Systematic Sampling selects every \(n^{th}\) unit.
  • Purposive Sampling is based on the researcher’s judgment.

Conclusion:
Thus, the correct answer is Random Sampling.
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