To evaluate the mean and median of each distribution, let's first summarize the data given for both distributions:
Distribution A:
- Ages:
- 15 → 2 students
- 16 → 5 students
- 17 → 6 students
- 18 → 5 students
- 19 → 2 students
Distribution B:
- Ages:
- 15 → 2 students
- 16 → 3 students
- 17 → 4 students
- 18 → 5 students
- 19 → 6 students
Calculate the Mean
For the mean of both distributions, we will use the formula \(\text{Mean} = \frac{\sum (x \cdot f)}{N}\), where \(x\) is the age and \(f\) is the frequency (number of students) for that age, and \(N\) is the total number of students.
Mean of Distribution A:
- Total number of students \(N_A = 2 + 5 + 6 + 5 + 2 = 20\)
- Mean: \[ \text{Mean}_A = \frac{(15 \cdot 2) + (16 \cdot 5) + (17 \cdot 6) + (18 \cdot 5) + (19 \cdot 2)}{20} = \frac{30 + 80 + 102 + 90 + 38}{20} = \frac{340}{20} = 17 \]
Mean of Distribution B:
- Total number of students \(N_B = 2 + 3 + 4 + 5 + 6 = 20\)
- Mean: \[ \text{Mean}_B = \frac{(15 \cdot 2) + (16 \cdot 3) + (17 \cdot 4) + (18 \cdot 5) + (19 \cdot 6)}{20} = \frac{30 + 48 + 68 + 90 + 114}{20} = \frac{350}{20} = 17.5 \]
Calculate the Median
To find the median, we need to arrange the frequency data and find the middle value:
- For both distributions with \(N = 20\), the median will be the average of the 10th and 11th values.
Distribution A:
- Ordered ages:
- 2 (Age 15), 5 (Age 16), 6 (Age 17), 5 (Age 18), 2 (Age 19)
- Cumulative counts:
- Age 15: 2
- Age 16: 7 (2+5)
- Age 17: 13 (7+6)
- Age 18: 18 (13+5)
- Age 19: 20 (18+2)
The 10th and 11th values are both from Age 17.
Median of Distribution A: \[ \text{Median}_A = 17 \]
Distribution B:
- Ordered ages:
- 2 (Age 15), 3 (Age 16), 4 (Age 17), 5 (Age 18), 6 (Age 19)
- Cumulative counts:
- Age 15: 2
- Age 16: 5 (2+3)
- Age 17: 9 (5+4)
- Age 18: 14 (9+5)
- Age 19: 20 (14+6)
The 10th and 11th values are from Age 18.
Median of Distribution B: \[ \text{Median}_B = 18 \]
Summary:
- Mean of Distribution A: \(17\), Mean of Distribution B: \(17.5\) → Distribution B has a larger mean.
- Median of Distribution A: \(17\), Median of Distribution B: \(18\) → Distribution B has a larger median.
Conclusion:
The statements can now be compared to the computed means and medians:
- A. Distribution B has a larger mean, but the medians of both distributions are the same. (Incorrect)
- B. Distribution B has both a larger mean and a larger median than distribution A. (Correct)
- C. Distribution B has a smaller mean, but the medians of both distributions are the same. (Incorrect)
- D. Distribution B has both a smaller mean and a smaller median than distribution A. (Incorrect)
Thus, the correct answer is B.