Question:
In stratified random sampling, one can increase the precision of estimate by
In stratified random sampling, one can increase the precision of estimate by
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Stratified random sampling:
- Precision increased by varying probability.
- More samples in variable strata.
- Reduces sampling error.
- Precision increased by varying probability.
- More samples in variable strata.
- Reduces sampling error.
Updated On: Sep 1, 2026
- Simple Random Sampling
- List Sampling
- Sampling with varying probability
- Sequential Sampling
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The Correct Option is C
Solution and Explanation
Step 1: Understanding the Question:
This question tests knowledge of sampling techniques in forestry.
Step 2: Detailed Explanation:
In stratified random sampling, precision can be increased by using sampling with varying probability (also called probability proportional to size).
This method allocates more samples to strata with greater variability.
Simple Random Sampling (A): Does not increase precision in stratified sampling.
List Sampling (B): Not a standard term.
Sequential Sampling (D): Used for decision-making, not precision.
Thus, sampling with varying probability is the correct answer.
Step 3: Final Answer:
Thus, precision can be increased by sampling with varying probability, which corresponds to option (C).
[0.5cm]
This question tests knowledge of sampling techniques in forestry.
Step 2: Detailed Explanation:
In stratified random sampling, precision can be increased by using sampling with varying probability (also called probability proportional to size).
This method allocates more samples to strata with greater variability.
Simple Random Sampling (A): Does not increase precision in stratified sampling.
List Sampling (B): Not a standard term.
Sequential Sampling (D): Used for decision-making, not precision.
Thus, sampling with varying probability is the correct answer.
Step 3: Final Answer:
Thus, precision can be increased by sampling with varying probability, which corresponds to option (C).
[0.5cm]
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