We've previously learned how to interpret data in dot plots, histograms, and box plots. Let's look at a few worked examples to review how to find measures of center (mean, median and mode) and measures of variability (range and interquartile range or IQR) from a data display.
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 19th birthday?
A government agency records how long people wait on hold to speak to their representatives. The results are displayed in the histogram below:
Complete the corresponding frequency table:
Length of hold (minutes) | Frequency |
---|---|
1 | |
2 | |
3 | |
4 | |
5 |
How many phone calls were made?
How long in total did these people wait on the hold?
What was the mean wait time? Give your answer as a decimal.
For the following box plot:
Find the lowest value.
Find the highest value.
Find the range.
Find the median.
Find the interquartile range (IQR).
Summarizing data in a display often makes it easier to visualize and find measures of center and variability.