What is the expected outcome of conducting inferential analysis in real estate?

When conducting inferential analysis in real estate, the primary goal is to derive insights from a sample that can be generalized to a larger population. This type of analysis involves using statistical methods to make predictions or inferences about broader trends based on data collected from a smaller segment.

Inferential analysis allows real estate professionals to draw conclusions about market behavior, tenant preferences, or property values without needing to analyze every single property or transaction in a market. For example, by surveying a sample of homeowners and analyzing their responses, one can make educated projections about the entire housing market's trends.

While forecasting housing trends, creating detailed financial reports, and establishing rental pricing are important tasks within real estate, these are typically results or applications of the data analyzed rather than the primary goal of inferential analysis itself. Therefore, the emphasis on deriving insights from a sample is fundamental to understanding how inferential analysis serves the real estate industry.