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 | F/R | 315 | F/C | 329 | O/C |
| 302 | O/R | 316 | O/C | 330 | N/R |
| 303 | N/C | 317 | W/C | 331 | N/R |
| 304 | N/R | 318 | N/R | 332 | W/R |
| 305 | W/C | 319 | O/C | 333 | O/R |
| 306 | N/R | 320 | F/R | 334 | O/C |
| 307 | F/R | 321 | F/R | 335 | N/R |
| 308 | N/C | 322 | O/R | 336 | W/R |
| 309 | W/R | 323 | F/R | 337 | O/C |
| 310 | N/R | 324 | N/C | 338 | O/R |
| 311 | N/R | 325 | F/R | 339 | F/R |
| 312 | F/C | 326 | O/R | 340 | N/R |
| 313 | N/R | 327 | W/C | 341 | O/C |
| 314 | W/C | 328 | O/C | ||
| Key: | Problem type: | Customer type: | ||||
| N | = | Noisy | C | = | Commercial customer | |
| F | = | Equipment failure | R | = | Residential customer | |
| W | = | Runs warm | ||||
| O | = | Odor | ||||
Problem 9-2 Part a
a. Using the data, prepare a check sheet for
the problem types for each customer type.
(1) Residential customer type
| Residential | ||
| Noisy | ||
| Failed | ||
| Odor | ||
| Warm | ||
| Totals | ||
(2) Commercial customer type
| Commercial | ||
| Noisy | ||
| Failed | ||
| Odor | ||
| Warm | ||
| Totals | ||
b. Select a appropriate Pareto diagram for the Residential customers.
Multiple Choice
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image10 7 3 Noisy Failed Odor Warm
15 7 3 2 Noisy Failed Odor Warm
Homework Answers
a.
(1) Residential
Noisy = 10
Failed = 7
Odor = 5
Warm = 3
Total = 25
(2) Commercial
Noisy = 3
Failed = 2
Odor = 7
Warm = 4
Total = 16
b. The correct option for the Pareto Diagram would be option 2 based on the data for the residential type.
Add Answer to:
An air-conditioning repair department manager has compiled data
on the primary reason for 41 service calls...
[The following information applies to the questions displayed below.] An air-conditioning repair department manager has compiled...
[The following information applies to the questions displayed below.] 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 N/C N/R N/R N/C F/R F/R N/C o/c F/R o/c w/c W/R N/R o/c Job Number 315 316 317 318 319 320 321 322 323 324 325...
Problem 9-2 The following information applies to the questions displayed below] An air-conditioning repair department manager...
Problem 9-2 The following information applies to the questions displayed below] 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. Problem/ob Problem/Job Problem/ Number Customer Type Number Customer Type Number Customer Type 301 O/R WIC N/R 315 316 317 318 W/R W/R O/R F/R N/R O/C F/C N/R WIC N/R Wic O/R F/C O/R N/R O/R N/R W/R WiC F/R 330 303 304 305...
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I was successful with these steps but I am stuck with next
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below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
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Do the best you can please.
Here's
the starter code:
//
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// monsterdb.c
//
-----------------------------------------------------------------------
#include
#include
#include
//
-----------------------------------------------------------------------
// Some defines
#define NAME_MAX 64
#define BUFFER_MAX 256
//
-----------------------------------------------------------------------
// Structs
typedef struct
{
char name[NAME_MAX];
int hp;
int attackPower;
int armor;
} Character;
typedef struct
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int size;
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} CharacterContainer;
//
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[The following information applies to the questions displayed below.] 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 N/C N/R N/R N/C F/R F/R N/C o/c F/R o/c w/c W/R N/R o/c Job Number 315 316 317 318 319 320 321 322 323 324 325...
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Required information [The following information applies to the questions displayed below.) 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 Problem/ Number Customer Type 301 F/c 302 F/R 303 o/C 304 o/c 305 W/C 306 W/R 307 o/R 308 N/R 309 F/C 310 N/R 311 o/c 312 F/R o/C W/C Job Problem/ Number Customer Type 315 N/C 316 N/R 317 N/R 318 N/C...
34445 A service company, SUPER CLEAN, provides commercial and residential cleaning services. The company is currently using a job costing system. Overhead are allocated based on the direct labour hours. A. Traditional Costing with plant wide method: Using traditional costing the company calculated the overhead cost based on 21 000 hours of activity: Activity cost pools Receptionist Office supplies Estimated cost $ 25,000 $ 3,000 $ 32,500 $ 37.500 $ 98,000 Depreciation tota Required - Part A: Calculate the overhead...
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Hi it's python I imported a data which are so many words in txt
and I arranged and reshaped with alphabetically both rows and
columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
df_output.index.name="Start"
df_output.columns.name="End"
df_output
This below screen shot is what I have to find
I have to find each word...
Chapter 5 Homework - Excel Search Bobby Simoni e Insert Formulas Data Review View Help Share Cabb Draw Page Layout -11 - AA E- OA- - General 2 Wrap Text Merge Center Insert Delete Format A7 O 4 BTU- $ -% Ideas Sensitiv Conditional Format as Cell Formatting Table Styles Styles Sort & Find a Filter Select Editing Font Alignment Number Cels Idees Sen. ✓ fo O P Q R S 8 с D H к M N You will...
Need this in C
The starter code is long, if you know how to do it in other way
please do.
Do the best you can please.
Here's
the starter code:
//
-----------------------------------------------------------------------
// monsterdb.c
//
-----------------------------------------------------------------------
#include
#include
#include
//
-----------------------------------------------------------------------
// Some defines
#define NAME_MAX 64
#define BUFFER_MAX 256
//
-----------------------------------------------------------------------
// Structs
typedef struct
{
char name[NAME_MAX];
int hp;
int attackPower;
int armor;
} Character;
typedef struct
{
int size;
Character *list;
} CharacterContainer;
//
-----------------------------------------------------------------------
//...
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