What is the median of the following data? 2, 3, -1, 2, 6, 8, 9
3
The question asks us to find the median of the given set of data: 2, 3, -1, 2, 6, 8, 9.
The median is a measure of central tendency. It represents the middle value in a data set that has been arranged in numerical order. Unlike the mean (average), the median is not affected by extreme values (outliers), making it a useful measure for skewed distributions.
To find the median of a data set, follow these steps:
Let's apply these steps to the data set: 2, 3, -1, 2, 6, 8, 9.
Step 1: Arrange the data in ascending order.
The ordered data set is: -1, 2, 2, 3, 6, 8, 9.
Step 2: Count the number of data points.
There are 7 data points in the set. So, \(n = 7\).
Step 3: Determine the median.
Since \(n = 7\) is an odd number, the median is the middle value. The position of the median is the \(\left(\frac{n+1}{2}\right)\)-th term.
Position of median = \(\left(\frac{7+1}{2}\right)\)-th term = \(\left(\frac{8}{2}\right)\)-th term = 4th term.
Now, let's find the 4th term in the ordered data set (-1, 2, 2, 3, 6, 8, 9).
The 4th term in the ordered list is 3.
Therefore, the median of the data set {2, 3, -1, 2, 6, 8, 9} is 3.
| Original Data | Ordered Data | Position |
|---|---|---|
| 2 | -1 | 1st |
| 3 | 2 | 2nd |
| -1 | 2 | 3rd |
| 2 | 3 | 4th (Median) |
| 6 | 6 | 5th |
| 8 | 8 | 6th |
| 9 | 9 | 7th |
The calculated median is 3.
| Step | Action | Result for Data {-1, 2, 2, 3, 6, 8, 9} |
|---|---|---|
| 1 | Order data | -1, 2, 2, 3, 6, 8, 9 |
| 2 | Count data points (n) | n = 7 |
| 3a | Check if n is odd/even | n is odd |
| 3b | Find median position (\(\frac{n+1}{2}\)) | \(\frac{7+1}{2} = 4\)-th term |
| 4 | Identify the value at the median position | 3 (the 4th term) |
The median is one of several measures used to describe the center of a data set. Other common measures include the mean and the mode.
For the given data set {-1, 2, 2, 3, 6, 8, 9}:
Choosing the appropriate measure of central tendency depends on the nature of the data and the presence of outliers or skewed distributions. The median is often preferred when the data includes extreme values.
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