Outliers can cause the to be misleading when summarizing a data set. a. all of these b. interquartile range c. median d. mean

Hello!

An outlier can cause the mean to be misleading. If you have an outlier when finding the median or IQR, it will not throw off the data by much. But adding a very large or small number to the mean, and dividing it by an extra number, it will throw the number off by a large amount.

I hope this helps!

step-by-step explanation:

i believe its "c" because all of the other options include a but it could be d because there is a way of financing with cash at certain places but its uncommon.

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