21. A restaurant has noticed many popular dishes are running out early in the day. How could a data analyst help identify a solution to this problem? Select all that apply.
- Analyze ordering patterns of those products
- Examine the number of sales of those products
- Examine overall daily sales of the restaurant
- Analyze the number of staff on shift during peak times
22. When working for a restaurant, a data analyst is asked to examine and report on the daily sales data from year to year to help with making more efficient staffing decisions. What is this an example of?
- A business task
- An issue
- A solution
A breakthrough
23. Data-driven decision-making is using facts to guide business strategy. The benefits include which of the following? Select all that apply.
- Getting a complete picture of a problem and its causes
- Combining observation with objective data
- Using data analytics to find the best possible solution to a problem
- Making the most of intuition and gut instinct
24. A data analyst is analyzing fruit and vegetable sales at a grocery store. They’re able to find data on everything except red onions. If they exclude red onions from the analysis, this would be an example of creating or reinforcing bias.
- True
- False
25. A hotel is trying to gather data on their guests' satisfaction with their stay. Which of the following options would best help the hotel account for potential bias in their data?
- Surveying guests at random times throughout the year
- Only surveying guests who have booked their stay through a certain third-party website
- Only surveying guests who have stayed at the hotel during peak season
- Only surveying guests who have stayed at the hotel for more than 3 nights
26. A restaurant is struggling to accurately staff for the different daily customer volumes. On some days, there are many servers and few customers. On other days, the restaurant is very busy and there are not enough servers and kitchen staff. What reports could a data analyst use to create more efficient staffing strategies? Select all that apply.
- Reports of past and future reservations
- Reports of past weather patterns in the area of the restaurant
- Reports using historical sales data to predict sales for the current day/date
- Reports of planned local events in the area of the restaurant
27. Fill in the blank: In data analytics, a topic to investigate is also known as a(n) _____.
- theme
- issue
- question
- statement
28. When a choice is made between good, bad, or a combination of consequences based on facts, it is also known as what?
- Data-driven decision-making
- Data ethics
- Data visualization
- Data programming
Shuffle Q/A 3
29. At what point in the data analysis process should a data analyst consider fairness?
- When decisions are made based on the conclusions
- When data collection begins
- When data is being organized for reporting
- When conclusions are presented
30. A restaurant is considering changing their operating hours. They survey customers that come in between 4 p.m. and 5 p.m. to get feedback on this potential change. What can the restaurant do to ensure the data analysis process is fair?
- Expand the times when they survey customers
- Survey only repeat customers
- Reward customers for participating in the survey
- Survey people walking by on the street
