An automobile company keeps track of its shipments and warranty returns
on a yearly basis. The following tables show the shipments in 2001, 2002,
2003, and 2004 and the warranty returns through 2005, the present time.
The two tables below tell the same story
Year Shipped |
Quantity Shipped |
Returned 2002 |
Returned 2003 |
Returned 2004 |
Returned 2005 |
2001 |
10000 |
50 |
60 |
100 |
300 |
2002 |
15000 |
|
78 |
130 |
200 |
2003 |
23000 |
|
|
275 |
600 |
2004 |
32000 |
|
|
|
400 |
If you data are arranged this way in your worksheet, choose Shipment values in a column from Data format in the Pre-Process Warranty Data dialog box.
You can also present the same data as follows:
Year Returned |
Shipped 2001 |
Shipped 2002 |
Shipped 2003 |
Shipped 2004 |
|
10000 |
15000 |
23000 |
32000 |
2002 |
50 |
78 |
275 |
400 |
2003 |
60 |
130 |
600 |
|
2004 |
100 |
200 |
|
|
2005 |
300 |
|
|
|
If you data are arranged this way in your worksheet, choose Shipment values in first row of return columns from Data format in the Pre-Process Warranty Data dialog box.
To analyze warranty data in either of these formats using Warranty Prediction or any parametric distribution analysis techniques, you must use Pre-Process Warranty Data to transform your data to the arbitrarily censored data format.