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2 cards from this section. Quick, good the night before a test.
Calculate the mean of the dataset {2, 3, 4, 5}.
Add all values and divide by the number of values.
What happens to the mean if we add an outlier such as 20 to the dataset {1, 2, 3, 4, 5}?
Think about how much the added number is affecting the average.
What is the mean of the values {4, 8, 12, 16}?
Sum all values and then divide by 4.
True or False: An outlier can dramatically affect the mean of a dataset.
Think of a case where one number is much larger or smaller than the rest.
Calculate the mean of the following dataset: {15, 20, 35, 40, 55, 60, 100}. Discuss how the outlier affects your result.
Look at how the average changes with and without the outlier.
You have a dataset with the following 10 values {12, 14, 15, 15, 16, 18, 19, 20, 45, 50}. Calculate the mean and determine how the outlier of 50 affects your evaluation of the data.
Examine both the mean and the range of normal values without the outlier.
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