Spreadsheet Modeling & Decision Analysis: A Practical Introduction To Business Analytics, Loose-leaf Version
Spreadsheet Modeling & Decision Analysis: A Practical Introduction To Business Analytics, Loose-leaf Version
8th Edition
ISBN: 9781337274852
Author: Ragsdale, Cliff
Publisher: South-Western College Pub
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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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