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9-3) An air-conditioning repair department manager has compiled data on the primary reason for 41 service calls for the previous week, as shown in the
9-3)
An air-conditioning repair department manager has compiled data on the primary reason for 41 service calls for the previous week, as shown in the table. |
Job Number | Problem/ Customer Type | Job Number | Problem/ Customer Type | Job Number | Problem/ Customer Type |
301 | W/R | 315 | F/R | 329 | N/R |
302 | O/C | 316 | F/C | 330 | W/R |
303 | O/C | 317 | W/C | 331 | O/C |
304 | O/R | 318 | W/C | 332 | N/C |
305 | N/R | 319 | W/C | 333 | N/R |
306 | F/R | 320 | F/R | 334 | N/R |
307 | N/C | 321 | O/C | 335 | W/C |
308 | O/R | 322 | N/C | 336 | N/R |
309 | W/C | 323 | N/R | 337 | F/R |
310 | O/C | 324 | W/R | 338 | O/R |
311 | F/C | 325 | W/R | 339 | F/R |
312 | W/R | 326 | O/C | 340 | N/R |
313 | F/R | 327 | W/C | 341 | W/R |
314 | N/R | 328 | O/C |
Key: | Problem type: | Customer type: | ||
N | = Noisy | C | = Commercial customer | |
F | = Equipment failure | R | = Residential customer | |
W | = Runs warm | |||
O | = Odor |
a. | Using the data, prepare a check sheet for the problem types for each customer type. |
(1) | Residential customer type |
Residential | |
Noisy | |
Failed | |
Warm | |
Odor | |
Totals | |
(2) | Commercial customer type |
Commercial | |
Noisy | |
Failed | |
Odor | |
Warm | |
Totals | |
|
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