To create a histogram from the dataset provided (25, 25, 39, 46, 38, 52, 22, 65, 60, 38), we first need to define the bins (ranges for grouping the data) and then count how many data points fall into each bin.
Let's break down the dataset:
- Data Points: 22, 25, 25, 38, 38, 38, 39, 46, 52, 60, 65
- Range of Data: The minimum value is 22 and the maximum value is 65.
Next, we can define the bins. A common approach is to create bins that cover a range of values evenly.
Example bins:
- 20-29
- 30-39
- 40-49
- 50-59
- 60-69
Now, we can count how many values fall into each bin:
- 20-29: 22, 25, 25 (3 values)
- 30-39: 38, 38, 38, 39 (4 values)
- 40-49: 46 (1 value)
- 50-59: 52 (1 value)
- 60-69: 60, 65 (2 values)
Now we can summarize the counts for each bin:
- 20-29: 3
- 30-39: 4
- 40-49: 1
- 50-59: 1
- 60-69: 2
Using this information, Sonora's histogram can be illustrated as follows:
Bin Count
20-29 | ***
30-39 | ****
40-49 | *
50-59 | *
60-69 | **
Note: Each asterisk (*) represents a count of one data point. The histogram shows the distribution of the data across the specified bins.