15.1: Notice and Wonder: Two Parties
Here are dot plots that show the ages of people at two different parties. The mean of each distribution is marked with a triangle.
What do you notice and what do you wonder about the distributions in the two dot plots?
15.2: The Five-Number Summary
Here are the ages of the people at one party, listed from least to greatest.
Find the median of the data set and label it “50th percentile.” This splits the data into an upper half and a lower half.
Find the middle value of the lower half of the data, without including the median. Label this value “25th percentile.”
Find the middle value of the upper half of the data, without including the median. Label this value “75th percentile.”
You have split the data set into four pieces. Each of the three values that split the data is called a quartile.
- We call the 25th percentile the first quartile. Write “Q1” next to that number.
- The median can be called the second quartile. Write “Q2” next to that number.
- We call the 75th percentile the third quartile. Write “Q3” next to that number.
Label the lowest value in the set “minimum” and the greatest value “maximum.”
The values you have identified make up the five-number summary for the data set. Record them here.
minimum: _____ Q1: _____ Q2: _____ Q3: _____ maximum: _____
The median of this data set is 20. This tells us that half of the people at the party were 20 years old or younger, and the other half were 20 or older. What do each of these other values tell us about the ages of the people at the party?
- the third quartile
- the minimum
- the maximum
There was another party where 21 people attended. Here is the five-number summary of their ages.
minimum: 5 Q1: 6 Q2: 27 Q3: 32 maximum: 60
- Do you think this party had more children or fewer children than the earlier one? Explain your reasoning.
- Were there more children or adults at this party? Explain your reasoning.
15.3: Range and Interquartile Range
Here is a dot plot that shows the lengths of Elena’s bus rides to school, over 12 days.
Write the five-number summary for this data set. Show your reasoning.
The range is one way to describe the spread of values in a data set. It is the difference between the maximum and minimum. What is the range of Elena’s travel times?
Another way to describe the spread of values in a data set is the interquartile range (IQR). It is the difference between the upper quartile and the lower quartile.
What is the interquartile range (IQR) of Elena’s travel times?
What fraction of the data values are between the lower and upper quartiles?
Here are two more dot plots.
Without doing any calculations, predict:
Which data set has the smaller range?
Which data set has the smaller IQR?
- Check your predictions by calculating the range and IQR for the data in each dot plot.
Earlier we learned that the mean is a measure of the center of a distribution and the MAD is a measure of the variability (or spread) that goes with the mean. There is also a measure of spread that goes with the median. It is called the interquartile range (IQR).
Finding the IQR involves splitting a data set into fourths. Each of the three values that splits the data into fourths is called a quartile.
- The median, or second quartile (Q2), splits the data into two halves.
- The first quartile (Q1) is the middle value of the lower half of the data.
- The third quartile (Q3) is the middle value of the upper half of the data.
For example, here is a data set with 11 values.
- The median is 33.
- The first quartile is 20. It is the median of the numbers less than 33.
- The third quartile 40. It is the median of the numbers greater than 33.
The difference between the maximum and minimum values of a data set is the range. The difference between Q3 and Q1 is the interquartile range (IQR). Because the distance between Q1 and Q3 includes the middle two-fourths of the distribution, the values between those two quartiles are sometimes called the middle half of the data.
The bigger the IQR, the more spread out the middle half of the data values are. The smaller the IQR, the closer together the middle half of the data values are. This is why we can use the IQR as a measure of spread.
Different data sets can have the same five-number summary. For instance, here is another data set with the same minimum, maximum, and quartiles as the previous example.
interquartile range (IQR)
The interquartile range is one way to measure how spread out a data set is. We sometimes call this the IQR. To find the interquartile range we subtract the first quartile from the third quartile.
For example, the IQR of this data set is 20 because \(50-30=20\).
22 29 30 31 32 43 44 45 50 50 59 Q1 Q2 Q3
The median is one way to measure the center of a data set. It is the middle number when the data set is listed in order.
For the data set 7, 9, 12, 13, 14, the median is 12.
For the data set 3, 5, 6, 8, 11, 12, there are two numbers in the middle. The median is the average of these two numbers. \(6+8=14\) and \(14 \div 2 = 7\).
Quartiles are the numbers that divide a data set into four sections that each have the same number of values.
For example, in this data set the first quartile is 30. The second quartile is the same thing as the median, which is 43. The third quartile is 50.
22 29 30 31 32 43 44 45 50 50 59 Q1 Q2 Q3
The range is the distance between the smallest and largest values in a data set. For example, for the data set 3, 5, 6, 8, 11, 12, the range is 9, because \(12-3=9\).