First, get a **view** of the distribution of data by sorting it, then creating a **frequency distribution.**

Now, determine the Quartiles:

The first quartile, denoted Q_{1}, is the value in the data set that holds 25% of the values * below* it.

Q_{1} = 109

The third quartile, denoted Q_{3}, is the value of he data set that holds 25% of the values * above* it.

Q_{3} = 119

Q_{2} = 115 [mean]

Interquartile Range (IQR) = Q_{3}-Q_{1 } = 119 - 109 = 10

Outliers: 129, 135 (see frequency chart)