Data Interpretation and Averages
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Learning Objectives
- 1Compute the mean of a small data set by summing values and dividing by the count
- 2Find the median of an ordered data set by locating the middle value
- 3Identify the mode of a data set as the value that appears most often
- 4Calculate the range of a data set by subtracting the smallest from the largest value
Mini Lesson
A data set is a collection of numbers — quiz scores, temperatures, heights, or anything you can measure. Four simple statistics summarize a data set: the mean, the median, the mode, and the range. Each one tells you something different about the numbers, so picking the right one matters.
Mean (the average)
- Add up every value in the data set to get the total.
- Count how many values there are.
- Divide the total by the count: mean = sum / count.
- Example: for 8, 6, 9, 7, 10 — the sum is 40 and the count is 5, so the mean is 40 / 5 = 8.
Median (the middle value)
- First, list the values in order from least to greatest.
- If there is an odd count of values, the median is the single middle number.
- If there is an even count of values, the median is the mean of the two middle numbers.
- Example: for 4, 6, 7, 7, 11 (odd count of 5), the middle value is 7, so the median is 7.
Mode (the most common value)
- The mode is the value that appears most often in the data set.
- A data set can have one mode, more than one mode, or no mode at all if every value appears the same number of times.
- Example: in 3, 3, 7, 9 the value 3 appears twice and the others once, so the mode is 3.
Range (the spread)
- Range tells you how spread out the data is from low to high.
- Subtract the smallest value from the largest value: range = max - min.
- Example: for 2, 5, 9 the largest is 9 and the smallest is 2, so the range is 9 - 2 = 7.
- A small range means the values are close together. A large range means they are far apart.
Tip: always order the values from least to greatest before finding the median. Skipping the sort step is the most common mistake on data questions.
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