Central tendency describes a dataset with a representative value: the mean is the sum of numerical values divided by their count, the median is the middle value after ordering (or the mean of the two middle values), and the mode is the most frequent value. The measures can be calculated from raw data and simple frequency tables and compared in relation to skewness, outliers, and the data context; grouped-data estimates, weighted means, and more advanced statistical treatments are not included.
A measure of central tendency gives one value that represents a dataset. The three common measures are:
Example: The numbers of minutes seven students spent reading are:
1. Find the mean
Add the values:
There are values, so divide by :
The mean is approximately minutes.
2. Find the median
The values are already in order:
There are values, so the middle value is the fourth value. The median is minutes.
If there were an even number of values, the median would be the mean of the two middle values.
3. Find the mode
The value occurs twice. Every other value occurs once, so the mode is minutes.
Therefore:
The value is much larger than the other values, so it acts like an unusually high value, or outlier. It pulls the mean upward, making the median a better description of a typical student’s reading time in this dataset.
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