What conclusion might be drawn if almost every home has between 1380 and 1620 sq. ft.?

When a majority of homes fall within a specific range of square footage, such as between 1380 and 1620 square feet, it suggests a concentration of sizes that aligns with the characteristics of a normal distribution. In a normal distribution, data points are symmetrically distributed around a central mean, with most values clustering around this mean and fewer values lying further from it. This pattern reflects the natural variability of home sizes in a given area.

The presence of almost all homes within this range indicates that there is minimal variation in sizes, which lends credibility to the idea of a bell-shaped curve typical of a normal distribution. This observation can support assessing the overall market conditions and trends in home sizes, aiding appraisers in making informed decisions regarding property values and market dynamics.

The other options do not align with the implications of the data presented. For instance, significant standard deviations would indicate a wide variation in home sizes rather than a concentration; characterization of homes as heterogeneous would imply diversity in sizes; and inflated values relate to market pricing rather than the actual physical characteristics of the homes. Thus, the conclusion regarding the normal distribution of sizes accurately represents the implication of the given range of square footage.