\begin{tabular}{l} Warm-Up Activo \\ \( \begin{array}{l}\text { Analyzing Average Wind Patterns } \\ \text { The monthly wind speeds over a one-year period at } \\ \text { Denver International Airport were recorded and the } \\ \text { values for each month averaged. The average monthly } \\ \text { wind speeds, in mph, from January to December during } \\ \text { that time period were } 9.7,10.0,10.8,11,9,11.0,10.7,\end{array} \) \\ \( \begin{array}{l}\text { Use the statistics calculator to find the statistical } \\ \text { measures. } \\ \text { The median of the data set is } \\ \text { The mean of the data set is }\end{array} \) \\ \( \begin{array}{l}\text { The population standard deviation of the data set is }\end{array} \) \\ \hline\end{tabular}
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The Deep Dive
Did you know that wind patterns can greatly affect weather conditions and even influence flying schedules? Denver International Airport is uniquely positioned in the Rocky Mountain region, where it's not just about the altitude, but also how the mountains can alter wind currents. These wind patterns can create unpredictable turbulence for planes, making understanding their averages and variations crucial for aviation safety! To dive deeper into wind data, consider exploring meteorological studies that analyze the effects of local geography on wind speed. You can find fascinating research on how factors like mountain ranges and urbanization can change wind patterns over time. Engaging with real-world case studies can provide insights into how this data is applied in weather forecasting and climate change modeling, making it a riveting area of exploration!