Use the Data Given Below to Answer the Following Question(s)

Use the data given below to answer the following question(s) .
Following is the Sales database of Pointler's Inc., a manufacturer of clothing material. $\begin{array}{|l|l|l|l|l|l|}\hline \begin{array}{l}\text { Item } \\\text { Type }\end{array} & \text { Item } \mathrm{ID} & \text { Region } & \text { Buyer } & \begin{array}{l}\text { Unit } \\\text { Cost } \\(\$) \end{array} & \text { Units } \\\hline \text { Denim } & \text { D101 } & \text { Quintasia } & \text { Peter } & 9.79 & 101 \\\hline \text { Cotton } & \text { C101 } & \text { Prioland } & \text { Kane } & 27.79 & 56 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 42 \\\hline \text { Leather } & \text { L101 } & \text { Prioland } & \text { Gerry } & 27.79 & 33 \\\hline \text { Denim } & \text { D103 } & \text { Dygertia } & \text { Sarah } & 10.79 & 62 \\\hline \text { Cotton } & \text { C102 } & \text { Quintasia } & \text { Peter } & 12.79 & 66 \\\hline \text { Denim } & \text { D101 } & \text { Prioland } & \text { Audrey } & 9.79 & 81 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Jones } & 12.79 & 96 \\\hline \text { Denim } & \text { D101 } & \text { Dygertia } & \text { Thomas } & 9.79 & 38 \\\hline \text { Cotton } & \text { C103 } & \text { Quintasia } & \text { Peter } & 16.79 & 66 \\\hline \text { Denim } & \text { D102 } & \text { Prioland } & \text { Mary } & 12.79 & 96 \\\hline \text { Cotton } & \text { C105 } & \text { Quintasia } & \text { Henry } & 9.79 & 35 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Philip } & 27.79 & 87 \\\hline \text { Denim } & \text { D102 } & \text { Quintasia } & \text { Peter } & 12.79 & 41 \\\hline \text { Jute } & \text { J101 } & \text { Prioland } & \text { Simson } & 132.8 & \text { 8 } \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Peter } & 23.79 & 22 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Mary } & 16.79 & 34 \\\hline \text { Leather } & \text { L102 } & \text { Quintasia } & \text { Peter } & 16.79 & 70 \\\hline \text { Leather } & \text { L101 } & \text { Quintasia } & \text { Philip } & 27.79 & 21 \\\hline \text { Fur } & \text { F102 } & \text { Prioland } & \text { Kane } & 12.79 & 102 \\\hline \text { Denim } & \text { D104 } & \text { Prioland } & \text { Simson } & 9.09 & 73 \\\hline \text { Fur } & \text { F101 } & \text { Quintasia } & \text { Philip } & 23.79 & 80 \\\hline \text { Cotton } & \text { C103 } & \text { Prioland } & \text { Gerry } & 16.79 & 52 \\\hline \text { Cotton } & \text { C104 } & \text { Prioland } & \text { Simson } & 22.8 & 93 \\\hline \text { Cotton } & \text { C101 } & \text { Quintasia } & \text { Peter } & 12.79 & 10 \\\hline\end{array}$
-If a data set has 'c' number of observations, the relative frequency of category 'l' is computed as .

A) (frequency of category 'l') / 'c'
B) 'c' × (number of observations in category 'l')
C) (sum of all observations in category 'l') / 'c'
D) sum of ('c' + each observation in category 'l')