Two Kinds of Middle
The mean shares the total out equally. The median is the value in the middle once the data is in order. One outlier drags the mean but barely moves the median.
The mean is the fair-share average: total divided by count. The median is the middle value when the data are sorted, and the mode is the most common value. The mean is pulled by extreme values; the median is not, which is why house prices are reported as medians.
With an even count there is no single middle value, so the median is the average of the two middle numbers.
Mean: the total , shared among values, is . Median: the data are in order, and the middle (third) value is . The pulls the mean up to , higher than three of the five values; the median stays at .
There are two middle values, and . The median is halfway between them: .
Forgetting to sort. For the data the middle of the list as written is , but in order the data are and the median is . Also, average the two middle values only when the count is even; with an odd count there is a single middle value.
Find the mean and the median of .
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Mean: . Median: in order, ; the middle two are and , so the median is .
In Plain Terms & More Examples
The mean shares the total out equally; the median is the middle value once the numbers are in order.
Total , and , so the mean is .
In order, the middle value is .
Dividing by the wrong count. The mean of is . Dividing by , or any number other than how many values there are, gives , which is not the fair share.
Find the mean of and the median of .
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Mean: . Median: in order, ; the middle value is .
Which Average? And the Range
One extreme value drags the mean but leaves the median alone. The range (largest minus smallest) measures spread but is also hit by outliers.
Five workers earn and (thousands). Mean ; median . The median describes a typical worker better.
Data: . Range . Without the , the range is . One unusual value made the spread look seven times larger.
Using the mode as "typical" without looking. In the mode is , but most values are near . The median, , describes this data much better.
Data: . Find the mean, median, mode and range.
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Sorted: . Mean ; median ; mode ; range .
Working Backwards
If values have mean , their total is . Working backwards from a mean always starts by finding this total.
The mean is the fair share, so fair shares rebuild the total. With the total in hand you can find a missing value (the total minus the known values) or a new mean (the new total divided by the new count).
Four tests average , so the total is . Three scores are — that is — so the fourth is .
Five quiz scores have mean , so their total is . A sixth score of makes the total and the mean .
Averaging the averages. If a class of averages and a class of averages , the combined mean is not . The totals are for students, a mean of . The bigger class counts for more.
Priya has scores . What must she score on a fourth test to average exactly ?
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Needed total . Current total . She needs .
Dot Plots and Histograms
A dot plot shows every value. A histogram groups values into equal intervals and draws a bar for how many fall in each; the bars touch because the intervals do.
With a handful of values a dot plot keeps every detail. With many values spread widely, single dots become clutter, and grouping them into intervals shows the overall shape: where the data bunch up, and whether they trail off to one side.
Twelve students count their pets: . The mode is . With values the median is the mean of the th and th, which are both : median . The mean is , pulled up by the student with .
A histogram shows how long students read: to minutes, students; to , ; to , ; to , . How many read at least minutes? students.
Reading a bar as one value. The -to- bar of height means seven students read somewhere from to minutes, not that seven read exactly . A histogram hides the exact values, so it cannot give an exact mean.
From the pets data, how many students have more than pets, and what fraction of the class is that?
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More than : the values , and , so students. That is of the class.
Why It Works
The mean is the value every data point would have if the total were shared equally: copies of the mean add to the same total as the data. That is why the deviations from the mean always sum to zero — the amounts above balance the amounts below. The median splits the sorted list into two equal halves by count, so it does not care how far away the largest value is; that is its robustness.
Do not read a proof the way you read a rule. Cover the last line, ask what the previous line forces, and only then uncover it. If a step feels like magic, that is the step to work by hand with a concrete number.