After an earthquake, a disaster area is divided into 250 equal grids. Thirty of the grids are selected, and every occupied household in the grid is interviewed to help focus relief efforts on what residents require the most.

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Question 12.

Identify the sampling techniques used and discuss potential sources of bias (if any). Explain.

After an earthquake, a disaster area is divided into 250 equal grids. Thirty of the grids are selected, and every occupied household in the grid is interviewed to help focus relief efforts on what residents require the most.

What type of sampling is used?

  1. Stratified sampling is used, since the disaster area is divided into grids, and a random sample is taken from each grid.
  2. Cluster sampling is used, since the disaster area is divided into grids, and a random sample is taken from each grid.
  3. Cluster sampling is used, since the disaster area is divided into grids, and some of those grids are selected and everyone in those grids are interviewed.
  4. Stratified sampling is used, since the disaster area is divided into grids, and some of those grids are selected and everyone in those grids are interviewed.

Answer Option 3. Cluster sampling is used since the disaster area is divided into grids, and some of those grids are selected and everyone in those grids is interviewed.

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