1) A company wants to increase their sales by 10%. They could achieve this by increasing their marketing efforts, expanding their product line, or targeting new customer segments.
2) A restaurant wants to improve their customer satisfaction rating. They could accomplish this by improving the quality of their food, training their staff to provide better customer service, or implementing a loyalty program.
3) A school wants to reduce student absenteeism by 20%. They could encourage regular attendance through incentives like awards or prizes, implement stricter attendance policies, or provide resources to support student well-being.
4) A city wants to reduce traffic congestion by 15%. They could promote alternative transportation options like biking or public transit, implement road improvements or traffic management systems, or encourage remote work options.
Example 3 represents a discrete data constraint with viable solutions. The school wants to reduce student absenteeism by 20%, which is a specific and measurable goal. The solutions provided in the example (encouraging regular attendance through incentives, implementing stricter attendance policies, and providing resources) are viable approaches to achieve this goal.
Which of the following examples represents a discrete data constraint with viable solutions
1 answer