Construct a frequency distribution of the ages that 25 randomly selected smokers started smoking:
26 26 25 17 16 16 14 17 21 16
16 18 17 15 15 19 16 17 22 15
19 17 16 27 16
Construct a frequency distribution of the ages that 25 randomly selected smokers started smoking:
the frequencies posted wrong:
26 26 25 17 16 16 14 17 21 16
16 18 17 15 15 19 16 17 22 15
19 17 16 27 16
The abscissa (horizontal or X-axis) will range from 15-26. Put those numbers at the base (on the abscissa). For each score of a particular value, put an "X" at that point. Once this has been completed, connect the tops of each column of Xs to get your frequency distribution. The abscissa indicates the values of the scores, and the ordinate (vertical or Y-axis) indicates the frequency of the scores.
I hope this helps. Thanks for asking.
To construct a frequency distribution of the ages that 25 randomly selected smokers started smoking, you need to count the number of occurrences of each age in the given data.
Here are the steps to construct the frequency distribution:
1. Sort the ages in ascending order: 14, 15, 15, 15, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 18, 19, 19, 21, 22, 25, 26, 26, 27.
2. List the unique ages present in the data set: 14, 15, 16, 17, 18, 19, 21, 22, 25, 26, 27.
3. Count the number of occurrences for each unique age:
- Age 14: 1
- Age 15: 3
- Age 16: 6
- Age 17: 4
- Age 18: 1
- Age 19: 2
- Age 21: 1
- Age 22: 1
- Age 25: 1
- Age 26: 2
- Age 27: 1
4. Create a table with two columns: one for the ages and one for the frequency. Label the columns "Age" and "Frequency".
5. Fill in the table with the unique ages and their corresponding frequencies:
Age | Frequency
----|----------
14 | 1
15 | 3
16 | 6
17 | 4
18 | 1
19 | 2
21 | 1
22 | 1
25 | 1
26 | 2
27 | 1
This frequency distribution represents the ages at which 25 randomly selected smokers started smoking.