MindTap Business Statistics for Ragsdale's Spreadsheet Modeling & Decision Analysis, 8th Edition, [Instant Access], 2 terms (12 months)
8th Edition
ISBN: 9781337274876
Author: Cliff Ragsdale
Publisher: Cengage Learning US
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A team of undergraduate business students was asked to recommend improvement to the data entry process at the county appraiser’s office. The team identified several types of errors, such as posting an incorrect name or entering an incorrect parcel number. The deed abstractors were asked to keep a record of the errors in data entry that were sent to them. The following table is a frequency distribution of errors:
Defect
Total
Posting error in name
Posting error in parcel
Property sold after tax bills were mailed
Inappropriate call transfer (not part of deeds>mapping)
Posting error in legal description>incompletelegal description
Deeds received after tax bills printed
Correspondence errors
Miscellaneous errors
23
21
5
18
4
6
2
1
a. Construct a Pareto diagram of these defects in data entry.b. What recommendations would you suggest to the county appraiser?
The manufacturer of running shoes conducted a study on its newly developed jogging shoe. Listed are the type and frequency of the nonconformities and failures found. A Pareto chart to show the major problem areas is given below. (Round your answers to 1 decimal place.)
Type of Nonconformity
Frequency
Type of Nonconformity
Frequency
Sole separation
34
Lace breakage
13
Heel separation
91
Eyelet failure
8
Sole penetration
60
Other
16
Fill in the blanks in the table below:
Type of nonconfirmity
Count
Percent
Cumulative %
Heel separation
91
Sole penetration
60
27.0
68.0
Sole separation
34
Other
16
7.2
90.5
Lace breakage
13
Eyelet failure
8
3.6
100.0
South Africa Airways would like to monitor its airline’s performance. Each week for the past 20 weeks, they checked each week a random sample of 100 flight arrivals for “one-time” performance. The table that follows contains the number of flights that did not meet South Africa Airways definition of “one time”:
Week
Late flights
1
2
2
4
3
10
4
4
5
1
6
1
7
13
8
9
9
11
10
0
11
3
12
4
13
2
14
2
15
8
16
2
17
3
18
7
19
3
20
2
Calculate the upper and lower control limits for this chart.
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