An air-conditioning repair department manager has compiled data on the primary reason for 41 service calls...
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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 301 302 303 304 305 306 307 308 309 310 311 312 313 314 Problem/ Customer Type F/R O/R N/C N/R W/C N/R F/R N/C W/R N/R N/R F/C N/R W/C Job Number 315 316 317 318 319 320 321 322 323 324 325 326 327 328 Problem/ Customer Type F/C 0/C W/C N/R 0/C F/R F/R 0/R F/R N/C F/R 0/R W/C 0/0 Job Number 329 330 331 332 333 334 335 336 337 338 339 340 341 Problem/ Customer Type 0/C N/R N/R W/R O/R 0/C N/R W/R 0/C 0/R F/R N/R 0/C Click here for the Excel Data File Key: Problem type: N = Noisy F = Equipment failure W Runs warm 0 = Odor Problem 9-2 Part a (Static) Noisy Failed Odor Warm Totals a. Using the data, prepare a check sheet for the problem types for each customer type. (1) Residential customer type Residential Customer type: C = Commercial customer R= Residential customer 0 www (2) Commercial customer type Noisy. Failed Odor Warm Totals Commercial 0 1 2 3 Job Problem/ Number Customer Type 301 302 303 304 305 7 306 8 307 9 308 10 309 11 310 12 311 13 312 14 313 15 314 5 6 ||| 9-2 F/R O/R N/C N/R W/C N/R F/R N/C W/R N/R N/R F/C N/R W/C Job Number 315 316 317 318 319 320 321 322 323 324 325 326 327 328 Problem/ Customer Type F/C O/C W/C N/R O/C F/R F/R O/R F/R N/C F/R O/R W/C O/C Job Number 329 330 331 332 333 334 335 336 337 338 339 340 341 Problem/ Customer Type O/C N/R N/R W/R O/R O/C N/R W/R O/C O/R F/R N/R O/C 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 301 302 303 304 305 306 307 308 309 310 311 312 313 314 Problem/ Customer Type F/R O/R N/C N/R W/C N/R F/R N/C W/R N/R N/R F/C N/R W/C Job Number 315 316 317 318 319 320 321 322 323 324 325 326 327 328 Problem/ Customer Type F/C 0/C W/C N/R 0/C F/R F/R 0/R F/R N/C F/R 0/R W/C 0/0 Job Number 329 330 331 332 333 334 335 336 337 338 339 340 341 Problem/ Customer Type 0/C N/R N/R W/R O/R 0/C N/R W/R 0/C 0/R F/R N/R 0/C Click here for the Excel Data File Key: Problem type: N = Noisy F = Equipment failure W Runs warm 0 = Odor Problem 9-2 Part a (Static) Noisy Failed Odor Warm Totals a. Using the data, prepare a check sheet for the problem types for each customer type. (1) Residential customer type Residential Customer type: C = Commercial customer R= Residential customer 0 www (2) Commercial customer type Noisy. Failed Odor Warm Totals Commercial 0 1 2 3 Job Problem/ Number Customer Type 301 302 303 304 305 7 306 8 307 9 308 10 309 11 310 12 311 13 312 14 313 15 314 5 6 ||| 9-2 F/R O/R N/C N/R W/C N/R F/R N/C W/R N/R N/R F/C N/R W/C Job Number 315 316 317 318 319 320 321 322 323 324 325 326 327 328 Problem/ Customer Type F/C O/C W/C N/R O/C F/R F/R O/R F/R N/C F/R O/R W/C O/C Job Number 329 330 331 332 333 334 335 336 337 338 339 340 341 Problem/ Customer Type O/C N/R N/R W/R O/R O/C N/R W/R O/C O/R F/R N/R O/C
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