Case Article ---Flight Delays at RegionEx

Q3 Social Sciences
A. Farahat, Susan E. Martonosi
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引用次数: 0

Abstract

In this case about two fictitious airlines, RegionEx, a small regional airline, is a contracted regional carrier for MississippiDelta Airlines (MDA), a major U.S. airline. In September, RegionEx exhibited a worse flight delay record than MDA, and is now at risk of losing its contract. The flight operations manager at RegionEx is tasked with analyzing the flight delay records and explaining RegionEx's seemingly poor performance to RegionEx's chief operations officer. Reflecting the recommendations of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) published by the American Statistical Association, this case emphasizes statistical literacy and conceptual understanding of data analysis rather than rote procedures. Undergraduate and MBA students will use basic data analysis techniques, such as graphical analysis, descriptive statistics, and two-sample hypothesis testing and correlation, to discover important paradoxes in the flight delay data. They will learn that subtle differences in the definition of business performance metrics can radically change their interpretation; graphical analysis of data can provide information about distributions that are masked by summary statistics; aggregating data across disparate sample sizes can skew means (Simpson's paradox); and correlation does not imply causation. Case Teaching Note: Interested Instructors please see the Instructor Materials page for access to the restricted materials. To maintain the integrity and usefulness of cases published in ITE , unapproved distribution of the case teaching notes and other restricted materials to any other party is prohibited.
案例文章- RegionEx航班延误
在本例中,关于两个虚构的航空公司,RegionEx是一家小型区域性航空公司,是美国主要航空公司密西西比-达美航空公司(MDA)的签约区域性航空公司。今年9月,RegionEx的航班延误记录比MDA还要糟糕,现在有失去合同的危险。RegionEx的航班运营经理的任务是分析航班延误记录,并向RegionEx的首席运营官解释RegionEx看似不佳的表现。该案例反映了美国统计协会发布的《统计教育评估和教学指南》(GAISE)的建议,强调统计素养和对数据分析的概念理解,而不是死记硬背的程序。本科生和MBA学生将使用基本的数据分析技术,如图形分析,描述性统计,双样本假设检验和相关性,发现航班延误数据中的重要悖论。他们将了解到,企业绩效指标定义上的细微差异可能会从根本上改变他们的理解;数据的图形化分析可以提供关于被汇总统计掩盖的分布的信息;将不同样本量的数据聚合在一起可能会扭曲平均值(辛普森悖论);相关性并不意味着因果关系。案例教学说明:感兴趣的教师请参阅教师材料页面以获取受限制的材料。为保持资讯科技学院所刊登个案的完整性和实用性,未经批准,不得将个案教学笔记及其他受限制的资料分发给任何人士。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
INFORMS Transactions on Education
INFORMS Transactions on Education Social Sciences-Education
CiteScore
1.70
自引率
0.00%
发文量
34
审稿时长
52 weeks
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