Final answer:
One way to get around outlier analysis for apartment data is to use the graphical approach. This involves identifying potential outliers visually on a scatter plot and excluding them from the analysis.
Step-by-step explanation:
A way to get around outlier analysis in the context of apartment data is to use the graphical approach. This involves drawing an extra pair of lines that are two standard deviations above and below the best-fit line on a scatter plot. Any data points outside these lines are flagged as potential outliers. By visually examining the scatter plot, you can identify and exclude these outliers from your analysis.
For example, let's say you are trying to determine the average rent of a two-bedroom apartment in your town. You collect data on apartment rents and create a scatter plot. If there are some data points that are significantly higher or lower than the majority of the data, they may be outliers. By using the graphical approach, you can identify and exclude these outliers, which will help you obtain a more accurate estimate of the mean rent.