Final answer:
Comparing histograms of temperatures for two locations, the median is the preferred measure to determine which location is typically cooler. Histograms reveal skewness in data, and since the median is not influenced by extreme values, it indicates the central tendency more accurately than the mean in skewed distributions.
Step-by-step explanation:
When comparing the frequency of temperatures in two different locations using histograms, the median is a better measure of center than the mean, especially if the data is skewed. This is because the median is not affected by extreme values and gives a better sense of the 'typical' value in each location. The histograms for the two locations, Sunny Town and Desert Landing, indicate a range of temperatures across a 30-day period. For Sunny Town, the highest frequency is in the lower temperature range, while Desert Landing shows a higher frequency in the higher temperature ranges. To determine which location typically has the cooler temperature, we should compare the medians of the two distributions.
A histogram is used for continuous data and displays the shape of the data distribution, which can be symmetrical, normal, or skewed. Since temperature is a continuous variable, and the histograms likely show a skewed distribution, the median would serve best as the measure of central tendency for interpretation.