Name
Abstract | ||
|---|---|---|
Teaching statistics in an undergraduate or a graduate business administration course, business analytics course, or engineering program remains a challenging task for the instructors. Often students fail to comprehend the real-life application of statistical concepts with the help of disconnected textbook examples. This failure inspires scholars to develop case studies on statistical theories in real-life industry backgrounds or realistic industrial settings. Recognizing the students’ difficulty to understand the diverse statistical concepts in a realistic setting, we design a case study in an industrial background to facilitate students’ learning. It is constructed by drawing inspiration from real-life business scenarios in the context of the integrated chip manufacturing industry. It helps to bridge the gap between theoretical understanding and practical application. The case starts with introducing various probability distributions and gradually incorporates intricate concepts of statistics like sampli... |
Year | Venue | Field |
|---|---|---|
2016 | INFORMS Trans. Education | Data science,Business analytics,Manufacturing,Engineering program,Computer science,Manufacturing quality,Management science,Operations management,Statistical hypothesis testing |
DocType | Volume | Issue |
Journal | 17 | 1 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arnab Adhikari | 1 | 0 | 0.68 |
| Indranil Biswas | 2 | 9 | 3.26 |
| Arnab Bisi | 3 | 87 | 12.27 |