Question 1: Strategy (100 marks)
One of the most cumbersome items to buy is a bed mattress to sleep on. It is difficult to know how the product will perform before purchase and the large size makes mattresses difficult to transport. Several firms have begun to explore ways to disrupt this industry but arguably there is a long way to go before a truly viable business model will emerge. Two references are provided concerning this topic. You should consult other sources as needed to answer this question. Be sure to attribute all sources with footnotes and citations. Answer all questions in your own words. Indicate the source of the reference
Buying online:
Returning: ) .
Question 2: Machine Learning (100 marks)
In your answers, consider aspects of customer lifetime value and managerial decision making.
Don’s Analysis
Actual | |||
Positive | Negative | ||
Predicted | Positive | 220 | 100 |
Negative | 30 | 650 |
Katie’s Analysis
Actual | |||
Positive | Negative | ||
Predicted | Positive | 170 | 10 |
Negative | 80 | 740 |
Confusion Matrix | Actual | ||
Positive | Negative | ||
Predicted | Positive | TP | FP |
Negative | FN | TN |
Formula | Don Calculation | Katie Calculation | |||
Accuracy
(completed as an example) |
(TP + TN) / (TP + TN + FP + FN) | (220 + 650) / (220 + 650 + 100 + 30) | 0.87 | (170 + 740) / (170 + 740 + 10 + 80) | 0.91 |
Precision | TP / (TP + FP) | ||||
Error rate | (FP + FN) / (TP + TN + FP + FN) | ||||
Recall | TP / (TP + FN) | ||||
Specificity | TN / (TN + FP) | ||||
False positive rate | FP / (TN + FP) | ||||
F-score | 2* ((Precision*Recall) / (Precision + Recall)) |
iii) Describe a medical or business context where you would prefer to use Katie’s model. Why do you prefer Katie’s model? (20 marks)
Ian is an intern with the team who claims he made a breakthrough with a model that outperforms both Don’s and Katie’s. The confusion matrix for his model is below:
Ian’s Analysis
Actual | |||
Positive | Negative | ||
Predicted | Positive | 249 | 2 |
Negative | 1 | 748 |
Question 3: Experiments (100 marks)
Jennifer was given the results of an experiment that was designed to determine if a 10% reduction in price on an online shopping portal would lead to an increase in purchases. Control and treatment group were created. These groups are described below:
Control Group | Treatment Group | |
Number of males | 25 | 25 |
Number of females | 25 | 25 |
Average age | 47 years | 37 years |
Average spend per visit in the month BEFORE the experiment | $25.00 | $25.00 |
Average spend per visit in the month AFTER the experiment | $25.00 | $29.00 |
Control Group | Treatment Group | |
Number of People | ||
Characteristic 1: | ||
Characteristic 2: | ||
Characteristic 3: |
Control Group | Treatment Group | |
Observed behavior before treatment: | ||
Observed behavior after treatment: |
iii) State the managerial action you could take from the results of your experiment. Briefly describe a useful follow-up experiment that would further deepen understanding of why people behaved in the manner observed. (30 marks)