To create the histogram, we first need to categorize the given data into the specified ranges and count the frequencies.
The dataset provided is:
25, 25, 39, 46, 38, 52, 22, 65, 60, 38
Now we'll organize this data into the specified ranges:
-
20 to 30:
- Values: 25, 25, 22 (count = 3)
-
30 to 40:
- Values: 39, 38, 38 (count = 3)
-
40 to 50:
- Values: 46 (count = 1)
-
50 to 60:
- Values: 52 (count = 1)
-
60 to 70:
- Values: 65, 60 (count = 2)
Now we compile the frequencies:
- 20 to 30: 3
- 30 to 40: 3
- 40 to 50: 1
- 50 to 60: 1
- 60 to 70: 2
Now, based on the frequencies calculated above, the histogram will reflect the following:
- 20 to 30: 3
- 30 to 40: 3
- 40 to 50: 1
- 50 to 60: 1
- 60 to 70: 2
Looking at the options provided:
- The first option shows the frequencies: 20 to 30: 3, 30 to 40: 3, 40 to 50: 2, 50 to 60: 1, 60 to 70: 2 (incorrect for 40 to 50).
- The second option has 25 to 40: 5 (incorrect).
- The third option has 20 to 30: 3, 30 to 40: 3, 40 to 50: 1, 50 to 60: 1, 60 to 70: 2 (correct).
- The fourth option has 20 to 30: 3, 30 to 40: 3, 40 to 50: 1, 50 to 60: 2, 60 to 70: 1 (incorrect for 60 to 70).
Thus, the correct histogram representation is the third option:
20 to 30: 3; 30 to 40: 3; 40 to 50: 1; 50 to 60: 1; 60 to 70: 2.