Final Answer:
The sampling method described as randomly sampling 50 households from the city is an example of simple random sampling. It could be effective in capturing a diverse representation of households in the suburban area, ensuring each household has an equal chance of being included in the survey.
Step-by-step explanation:
Simple random sampling involves selecting a sample from a population in such a way that each possible sample of a given size has an equal chance of being chosen. In this case, randomly sampling 50 households from the city represents a simple random sampling method. This approach ensures that every household in the suburban area has an equal likelihood of being selected for the survey, thereby providing a fair representation of the diverse neighborhoods, including those with various housing structures. Consequently, it offers a reasonable chance of obtaining a sample that accurately reflects the characteristics of the entire suburban area.
This method is effective as it helps eliminate potential biases that could arise if specific neighborhoods or types of housing structures were selectively targeted for the survey. By randomly selecting households, the sample obtained will likely encompass a mix of large homes, apartments, and diverse housing structures present in different neighborhoods. This approach is valuable for providing a comprehensive understanding of the demographic and housing diversity within the suburban area, offering insights that could assist the city council in making informed decisions and policies based on a representative sample of the entire area.