Certainly! Let's go through the data step-by-step to build the dot plot representation.
First, let's analyze the given frequency table, which indicates the number of patients in each age range diagnosed with influenza:
| Age Range | Number of Sick Patients |
|-------------|-------------------------|
| 25 to 29 | 3 |
| 30 to 34 | 6 |
| 35 to 39 | 5 |
| 40 to 45 | 4 |
Now, we want to represent this information in the form of a dot plot. A dot plot uses dots to show the frequency of values in a dataset. Each dot represents one patient.
1. Age Range: 25 to 29
- Number of sick patients: 3
- Dot Plot Representation: ●●●
2. Age Range: 30 to 34
- Number of sick patients: 6
- Dot Plot Representation: ●●●●●●
3. Age Range: 35 to 39
- Number of sick patients: 5
- Dot Plot Representation: ●●●●●
4. Age Range: 40 to 45
- Number of sick patients: 4
- Dot Plot Representation: ●●●●
To visualize this as a dot plot, we align each age range and place the corresponding number of dots next to it:
```
Age Range Dot Plot
25 to 29 ●●●
30 to 34 ●●●●●●
35 to 39 ●●●●●
40 to 45 ●●●●
```
Therefore, the dot plot that represents the data from the frequency table is:
```
25 to 29 : ●●●
30 to 34 : ●●●●●●
35 to 39 : ●●●●●
40 to 45 : ●●●●
```
This dot plot accurately displays the number of sick patients in each specified age range from your given frequency table.
