Identify the sampling techniques used, and discuss potential sources of bias (if

Question

Identify the sampling techniques used, and discuss potential sources of bias (if any) Explain. After a earthquake, a disaster area is divided into 150 equal grids. Forty 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 typo of sampling is used? A. Stratified sampling is used, since the disaster area is divided into grids, and a random sample is taken from each grid. B. 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. C. Stratified sampling is used, since the disaster area is divided into grids, and some of those grids are selected and everyone in those girds is interviewed. D. Cluster sampling is used, since the disaster area is divided into grids, and a random sample is taken from each grid. What potential sources of bias are present, if any? Select all that apply. A. Certain grids may have been much more severely damaged than others. The grids that are selected may not be representative in terms of damage. B. The sample only consists of grids that are easy to get. These grids may not be representative of the population. C. Certain grids may have been much more severely damaged than others. Severely damaged girds may have fewer occupied households. D. There are no potential sources of bias.

Explanation / Answer

Sol:

Cluster Sampling

Cluster sampling refers to a sampling method that has the following properties.

Cluster sampling is used because the disaster
area was divided into grids and 30 grids were then entirely selected.
.

Solution2:

OptionA

Certain grids may have been much more damaged than others, so this is a
source of bias

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

---