To find the value of \( A \), which represents the sample size \( n_2 \) (the number of observations in Group 2), we first need to determine how many observations were made in each group based on the data provided.
Let's break down the provided data into three groups:
Group 1 (Menu-driven):
- 12
- 16
- 10
- 12
- 10
- 16
This gives us \( n_1 = 6 \).
Group 2 (Command-driven):
- 14
- 10
- 14
- 12
- 10
- 14
This gives us \( n_2 = 6 \) (which is the value of \( A \)).
Group 3 (Mixed):
- 10
- 8
- 10
- 8
- 4
- 10
This gives us \( n_3 = 6 \).
Now we can summarize the sizes of each group:
- \( n_1 = 6 \)
- \( n_2 = 6 \) (this is \( A \))
- \( n_3 = 6 \)
Total number of observations \( N \):
The total number of observations is given by: \[ N = n_1 + n_2 + n_3 = 6 + 6 + 6 = 18 \]
Now let's summarize the results that we have:
- \( n_1 = 6 \)
- \( n_2 = 6 \) (value of \( A \))
- \( n_3 = 6 \)
- \( N = 18 \)
Thus, the value of \( A \) is:
\[ \boxed{6} \]