91Ó°ÊÓ

Given data:

The following is the process for determining the qualitative data frequency distribution:

• Begin by listing the various values in the first column.
• Use tally marks to represent the number of times each data set value appears in the second column.
• In the third column, count the number of tally marks and enter the frequency for each.

In the table below, you can see the frequency distribution.

Given data:

The relative frequency is expressed as follows:

$\text{Relative Frequency}=\frac{\text{Frequency}}{\text{NumberofObservations}}$

The frequency distribution is presented in the table below.

$\begin{array}{|ccc|}\hline \text{Class}& \text{Frequency}& \text{Relative Frequency}\\ \text{NE}& 9& \frac{9}{50}=0.18\\ \text{MW}& 12& \frac{12}{50}=0.24\\ \text{SO}& 16& \frac{16}{50}=0.32\\ \text{WE}& 13& \frac{13}{50}=0.26\\ \text{Total}& 50& 1\\ \hline\end{array}$

Given data:

MINITAB has been used to create the pie chart.

The portion for each class in a pie chart is calculated by multiplying ${360}^o$by the appropriate relative frequencies.

The steps of drawing a pie chart are as follows:

• Navigate to Graph > Pie Chart.
• Choose the chart that counts unique data.
• Select your CLASS LEVELS.
• Go to the Labels tab.
• Navigate to the Slide Labels tab.
• Under Label pie pieces, check Category name and Percent.
• Click OK

The pie chart of the data set:

Given data,

MINITAB has been used to create the bar chart.

The steps to making a bar chart are as follows:

• Navigate to Graph > Bar Chart.
• Select Counts of unique values from the Bars to represent the menu. Click OK after selecting Simple.
• Add one column of CLASS LIMITS to Categorical variables.
• Select your chart options
• Click the Show $Y$as Percent option.
• Click OK

The figure shows the bar chart for the supplied data set.