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Computing Z-scores
Example: Compute the z-score for all teams in the American League in 2001, using the data below. Compute the mean and standard deviation of the z-scores. Conclude that the mean of z-scores is 0 and the standard deviation is 1.
|
Team |
Home Runs |
Team |
Home Runs |
|
1. Anaheim Angels |
158 |
8. Minnesota Twins |
164 |
|
2. Baltimore Orioles |
136 |
9. New York Yankees |
203 |
|
3. Boston Red Sox |
198 |
10. Oakland Athletics |
199 |
|
4. Chicago White Sox |
214 |
11. Seattle Mariners |
169 |
|
5. Cleveland Indians |
212 |
12. Tampa Bay Devil Rays |
121
|
|
6. Detroit Tigers |
139 |
13. Texas Rangers |
246 |
|
7. Kansas City Royals |
152 |
14. Toronto Blue Jays |
195 |
Press
STAT and select 1: Edit. Clear L1 and L2. Enter the home run data from the table
above into L1. Press STAT highlight CALC, select 1:1-Var Stats, and press 2nd
ENTER
to obtain the population mean and standard deviation.
To obtain the Z-scores for the data set, Press STAT and select 1: Edit. Highlight L2 at the top of the second column and press ENTER. With the cursor flashing on the bottom line of the screen type in L1-179)/34.54.
The
Z-score fore each data point in L1 will appear in L2. These Z-scores should have
a mean of 0 and a standard deviation of 1. To check this, press STAT, highlight
CALC, select 1:1-Var Stats, and press 2nd
ENTER.
Notice that the mean is 0. The population standard deviation is 1.00005509. This value is not exactly equal to 1 because we used a rounded value (34.54) for the standard deviation in our calculations.