Q 1 4 Q 1 2 Q 3 4 Q

Section 2. 5: Measure of Position
Quartiles
Quartiles divide the data into 4 parts.
Quartile Proportion of data behind this point
Q1
1
Q2
1
Q3
3
4
2
4
Example 1: The test scores of 30 students are listed. Find the quartiles of the following data set.
Steps:
•
Find Q2 (the median)
•
Split the data into 2 parts to the left and the right of the median.
•
Find the median of each part. These will be Q1 and Q3
Interquartile Range (IQR)
The interquartile range is a measure of variation of the middle 50% of the data.
Formula: IQR = Q3 − Q1
If any value of the data set exceeds 1.5 times the IQR, then that value is considered an outlier.
Example 2: Find the IQR of the previous data set and find any outliers.
The five-number summary consists of the quartiles of the data set, along with the max and min
of the data set. We can represent the five-number summary visually by creating a Box-andWhiskers Plot. The next example goes over the construction of the plot.
Example 3: Use the five-number summary; create a Box-and-Whisker plot from the data in
example 1
Steps
•
Construct a number line that spans the range of the data
•
Plot the five numbers above the number line.
•
Draw a box above the number line from Q1 and Q3 . Draw a vertical line over Q2 .
•
Draw whiskers from the box to the minimum and maximum entries.
Percentiles
Percentiles divided the data set into 100 equal parts.
Percentile is denoted as P95 . 95 in this example represent the 95th percentile
•
95 percent of the data lies below this point
•
5% percent of the data is above this point
Example 4: Find P30 from the data set in example 1.
Steps
•
Order the data if needed.
•
Find R which is given by the formula R = 
•
If R is an integer, then Pk =
 k 
n
 100 
xR + xR +1
. If R is not an integer, then round up R and Pk = xR
2
Standard Score
The standard score, or z-score, represents the number of standard deviations a given value falls
from the mean.
Formula: z =
Value - Mean
x−µ
=
Standard Deviation
σ
Example 5: Find the z-score for the value 57, when the mean is 64 and the standard deviation is 5.
Example 6: Find the z-score for the value 90, when the mean is 66 and the standard deviation is 7.
Example 7: The test scores for a history test and a physics test are given below.
Test
History
79
4.5
Physics
69
3.7
Find the z-score for each test.
On which test did the student perform better on?