The document compares and contrasts cluster sampling and adaptive cluster sampling. Both methods involve dividing a population into clusters and randomly selecting some clusters for sampling. However, adaptive cluster sampling allows for additional sampling units to be added to selected clusters, while cluster sampling samples fixed units within selected clusters. Adaptive cluster sampling provides more precise estimates but is more expensive than standard cluster sampling.

1. DIFFERENCES CLUSTER
SAMPLING AND ADAPTIVE
CLUSTER SAMPLING
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SITI NOR SHAKINAH (28286)
IZYAN AFIQAH (26474)

2. CLUSTER SAMPLING
Divide the population area into section or clusters, randomly select
few of those sections and then choose all the member.

3. ADAPTIVE CLUSTER
SAMPLING
 Additional units or site in cluster sections.

4. CLUSTER SAMPLING ADAPTIVE CLUSTER
SAMPLING
Less expensive not use for additional units Expensive
No additional units to be added to the sample Additional units to be added to the sample
Use are space to concentrated the population Wide spatial structure
Target object more information (data) Depend on structure populationas cluster plot
adapt to specific condition less info
High intra cluster correlation (small distance) Less intra cluster correlation

5. Less precise when More precise and accurate
contaminant are over the entire
area
High variability Lower variability
Slightly biased Less biased
More time is required Less time is required

6. SIMILARITY
 Random
 More convenient and practical
 unbiased