All Weeks Leadership Through Marketing Coursera quiz answers
Leadership Through Marketing Week 3 quiz answers
Quiz 1: Module 3 Quiz
Q1. Why was it possible for the Moneyball story to happen in the 2000s and not before then, like in the 1990s or 1980s?
- The data was not previously available
- Statistical methods were not advanced enough until the 2000s
- The benefits of advanced analytics were not apparent to most leaders in baseball prior to the 2000s
- There was not enough statistical talent interested in baseball prior to the 2000s
Q2. Complete this sentence: Data science…
- Is not objective
- Leaves room for judgment
- Does not always provide clear-cut answers
- All of the above
Q3. The search engine advertising graph from Video 3-2, Why Analytics Requires Managerial Judgment, timecode 1:53 fails to show that search engine advertising works because
- There were not enough consumers in each group
- Consumers in each group differ in their interest in buying a car
- We did not measure the data on last-click attribution
Q4. The Harrah’s story from Video 3-3, Why Analytics Requires Process and Incentive Changes, timecode 00:32 illustrates that:
- Analytics is hard to perform without top level management involvement
- Analytics can drive business value
- Analytics can serve to differentiate a company from its competitors
- Analytics requires a holistic (360 degree) view of the customer
- All of the above
Q5. The wine club story from Video 3-4, Why Analytics Has to Be Problem Driven, timecode 00:23 shows that the analytics proposed for their pro-active churn management failed because:
- The winery had not designed customer touch points with analytics in mind
- There were not enough customers who used the wine club to be able to build a good predictive model
- The winery targeted the wrong customers
Q6. The fact that analytics is a leadership problem implies that:
- Leaders need to have in-depth analytics expertise
- Leaders need to be involved in making analytics decisions every step of the way
- Every leader needs to know how to code
Q7. A working knowledge of data science allow you to:
- Judge what good analytics looks like
- Identify where analytics adds value
- Lead with confidence
- All of the above
Q8. To obtain a knowledge of data science you need to be good at:
- Math and statistics
- Computer science
- Critical analytical thinking
- All of the above
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