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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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