
3.Repeat step 2 for each new case.
Example: Find Q(x) for x = 1.18 and x = 2.1.
KeystrokesDisplay
| 1.18 | 0.12 | Q(1.18) | 
| 
 | 
 | |
| 2.1 | 0.02 | Q(2.1) | 
| 
 | 
 | 
Covariance
Covariance is a measure of the interdependence between paired variables (x and y). Like standard deviation, covariance may be defined for either a sample (Sxy) or a population (S'xy) as follows:
Sxy = r * sx * sy S'xy = r * s'x * s'y
The following procedure finds the covariance of a sample (Sxy) and of a population (S'xy):
1.Press  CLEAR
 CLEAR  .
.
2.Key in the  .
.
3.Key in the  . Repeat steps 2 and 3 for all data pairs.
. Repeat steps 2 and 3 for all data pairs.
4.Press 






 to obtain the value of Sxy.
 to obtain the value of Sxy.
5.Press  1 1
 1 1 
 1
 1 
 to obtain S'xy.
 to obtain S'xy.
Example 1: Find the sample covariance (Sxy) and population covariance (S'xy) for the following paired variables:
| 
 | xi | 
 | 26 | 30 | 44 | 50 | 62 | 68 | 74 | 
 | |
| 
 | yi | 
 | 92 | 85 | 78 | 81 | 54 | 51 | 40 | 
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| 
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| 
 | 
 | Keystrokes | 
 | 
 | Display | 
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| CLEAR | 
 | 
 | 
 | 
 | 
 | 
 | 
 | 
 | |||
| 92 | 
 | 26 | 
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| 85 | 
 | 30 | 
 | 
 | 7.00 | 
 | Total number of entries. | 
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| 
 | 
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 | 
 | 
 | 
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 | 
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| 78 | 
 | 44 | 
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| 81 | 
 | 50 | 
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