Why is my mean higher than most of my numbers?
A high outlier can pull the mean upward because the mean uses every value directly. Compare it with the median to see whether the sorted center tells a different story.
Calculate mean, median, mode, and range from the same data set, then compare what each summary actually tells you.
Mean is a balance point, median is the sorted middle, mode is the most frequent value, and range is the distance between endpoints. They answer different questions about the same values.
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For 4, 5, 6, 7, 100, the high outlier pulls the mean upward while the median stays near the typical cluster.
Sorting and frequency matter as much as arithmetic for these summaries.
A high outlier can pull the mean upward because the mean uses every value directly. Compare it with the median to see whether the sorted center tells a different story.
There is no mode when every value appears the same number of times, usually once. If two or more values tie for highest frequency, the data set has multiple modes.