Use the figure, which shows the median sales prices of...

use the figure, which shows the median sales prices of existing one-family homes sold (in thousands of dollars) in the United States from 1990 through 2005. Estimate the median sales price of existing one-family homes for each year. $$ \begin{array}{llll}{\text { (a) } 1990} & {\text { (b) } 1992} & {\text { (c) } 1997} & {\text { (d) } 2005}\end{array} $$

use the figure, which shows the median sales prices of existing one-family homes sold (in thousands of dollars) in the United States from 1990 through 2005.

Estimate the median sales price of existing one-family homes for each year.

$$
\begin{array}{llll}{\text { (a) } 1990} & {\text { (b) } 1992} & {\text { (c) } 1997} & {\text { (d) } 2005}\end{array}
$$

Key Concepts

Graphical Data Interpretation

This concept involves reading, analyzing, and extracting information from visual representations of data such as charts, graphs, and plots. It requires understanding the labels, scales, and trends represented in the graph, allowing one to make informed estimations or conclusions about the data being presented.

Time Series Analysis

Time series analysis is the method of examining data points collected or recorded at specific time intervals. It helps in understanding trends, patterns, and fluctuations over time, which is essential when assessing changes in variables like housing prices over several years.

Median as a Measure of Central Tendency

The median is a statistical measure that represents the middle value in a dataset when the values are arranged in order. It is widely used to indicate the central point of a dataset, especially in scenarios like housing prices where extreme values might skew the mean, offering a more accurate representation of typical values.

Estimation Techniques from Graphs

This concept centers on the method of approximating precise numerical values from graphical representations when exact data points are not provided. Estimation requires comparing the position of a data point relative to the graph’s scale and axes, enabling one to derive approximate values for analysis or decision-making.

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