For the next three exercises, use the data to construct a...

For the next three exercises, use the data to construct a line graph. In a survey, 40 people were asked how many times they visited a store before making a major purchase. The results are shown in Table 2.37. $$\begin{array}{|l|l|}\hline \text { Number of times in store } & {\text { Frequency }} \\ \hline 1 & {4} \\ \hline\end{array}$$ $$\begin{array}{|l|l|}\hline \text { Number of times in store } & {\text { Frequency }} \\ \hline 2 & {10} \\ \hline 3 & {16} \\ \hline 4 & {6} \\ \hline 5 & {4} \\ \hline\end{array}$$

For the next three exercises, use the data to construct a line graph.
In a survey, 40 people were asked how many times they visited a store before making a major purchase. The results are shown in Table 2.37.
$$\begin{array}{|l|l|}\hline \text { Number of times in store } & {\text { Frequency }} \\ \hline 1 & {4} \\ \hline\end{array}$$
$$\begin{array}{|l|l|}\hline \text { Number of times in store } & {\text { Frequency }} \\ \hline 2 & {10} \\ \hline 3 & {16} \\ \hline 4 & {6} \\ \hline 5 & {4} \\ \hline\end{array}$$

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Key Concepts

Data Visualization

Data visualization involves the graphical representation of data to communicate information clearly and efficiently. Techniques such as line graphs, bar charts, and pie charts help transform complex data sets into visual formats that are easier to understand and interpret.

Line Graph

A line graph is a type of data visualization that displays information as a series of data points called 'markers' connected by straight line segments. It is particularly useful for showing trends over time or ordered categories, helping to illustrate patterns such as increases or decreases in the data.

Frequency Distribution

A frequency distribution is a summary that shows the number of observations for each distinct value in a data set. It organizes raw data into categories or intervals, making it easier to identify patterns, trends, or outliers when visualized graphically.

Axes and Scale

When constructing graphs, choosing appropriate axes and scales is crucial. The horizontal axis typically represents the independent variable (such as time or categories), while the vertical axis represents the dependent variable (such as frequency or value), ensuring that the graph accurately depicts the relationship in the data.

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