The dot plot is a useful way to express numerical data. The main advantages of the dot plot are that we can find the mode and range very easily, as well as quickly see how the data is distributed. The main disadvantages are that we need to count each dot when finding the median and it is often easier to convert to a table to find the mean. The dot plot is particularly suited to data where the frequency of results are often greater than one.
In a dot plot, each dot represents one data point belonging to the result that it is placed above. The mode(s) of a dot plot will be the result(s) with the most dots. Since a dot plot stacks vertically, the greatest column(s) will belong to the mode(s).
Let's have a look at somes examples of a dot plot.
The dot plot shows the temperature \degree \text{C} in a town over weeks. Identify the temperature that is an outlier.
A group of adults is asked: "How old were you when you passed your driving test?". The responses were: 22,\,17,\,17,\,17,\,19,\,21,\,17,\,22,\,21,\,18,\,18,\,17,\,18,\,22,\,18
The dot plot represents the responses.
What is the range of this data set?
What is the mode of this data set?
What is the median of this data set?
How many people passed their driving test on or after their 19\text{th} birthday?
A supermarket manager takes a note every time an employee is late to work, and how late they were (rounded to the nearest half hour). The dot plot below shows their results for the last month:
What was the median amount of time that employees were late?
What fraction of late employees were later than the median amount?
If an employee is more than 1 hour late, the manager fines them \$10. How much money did the manager collect in fines over the last month?
In a dot plot, each dot represents one data point belonging to the result that it is placed above.
The mode(s) of a dot plot will be the result(s) with the most dots. Since a dot plot stacks vertically, the greatest column(s) will belong to the mode(s).