The given data set is:
\[
\{14, 40, 19, 44, 37, 84, 6, 24, 69, 38, 29\}
\]
After sorting, the data becomes:
\[
\{6, 14, 19, 24, 29, 37, 38, 40, 44, 69, 84\}
\]
To find the first quartile \(Q_1\), we use the formula:
\[
\text{Rank} = Q \times (N + 1) = 0.25 \times (11 + 1) = 3.0
\]
The quantile is at position 3, which corresponds to the value:
\[
Q_1 = 19
\]
To find the third quartile \(Q_3\), we use the formula:
\[
\text{Rank} = Q \times (N + 1) = 0.75 \times (11 + 1) = 9.0
\]
The quantile is at position 9, which corresponds to the value:
\[
Q_3 = 44
\]
The interquartile range (IQR) is calculated as:
\[
IQR = Q_3 - Q_1 = 44 - 19 = 25
\]
The lower outlier boundary is calculated as:
\[
\text{Lower Outlier Boundary} = Q_1 - 1.5 \times IQR = 19 - 1.5 \times 25 = -18.5
\]
The upper outlier boundary is calculated as:
\[
\text{Upper Outlier Boundary} = Q_3 + 1.5 \times IQR = 44 + 1.5 \times 25 = 81.5
\]
- First Quartile \(Q_1\): \( \boxed{19} \)
- Third Quartile \(Q_3\): \( \boxed{44} \)
- Interquartile Range \(IQR\): \( \boxed{25} \)
- Lower Outlier Boundary: \( \boxed{-18.5} \)
- Upper Outlier Boundary: \( \boxed{81.5} \)