Finding the Center of Data Sets: Mean and Median

This lesson covers how to find the center of data sets using mean and median. It explains the calculation of mean by summing all data points and dividing by the number of points, and median as the middle value in ordered data. The lesson introduces the mathematical formula for mean and discusses when to use mean versus median, highlighting the impact of outliers. Practical examples illustrate these concepts, emphasizing that mean is affected by extreme values, while median is more robust in skewed data.

What is the mean of the test scores mentioned in the lesson?

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How did the introduction of outliers affect the mean and median of the driving times?

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Explain the significance of the stem and leaf plot in understanding data distribution.

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