41. Fill in the blank: As a data analyst considering problems that involve people and their behaviors and activities, it’s important to take into account the complicated _____ that could create bias in conclusions.
- social context
- company politics
- performance
- attendance habits
42. Describe the difference between a question and a problem in data analytics.
- A question is a topic to investigate, whereas a problem is a subject to investigate.
- A question can have many answers, whereas a problem only has one solution.
- A question is uncertain, whereas a problem is clearly specified.
- A question is designed to discover information, whereas a problem is an obstacle or complication that needs to be solved.
43. Fill in the blank: A business task is described as the _____ a data analyst answers for a business.
- complaint
- comment
- question
- solution
44. Fill in the blank: _____ in data analytics is when the data analysis process does not create or reinforce bias.
- Predictability
- Transparency
- Fairness
- Consideration
45. A data analyst at a restaurant analyzes data about past sales and customer trends. They identify that the restaurant does not generate enough revenue to pay the staff whenever the restaurant is open before 4 p.m. The restaurant then adjusts their hours of operation to open at 4 p.m. What is this an example of?
- Using intuition to create efficiencies
- Following data ethics
- Survey data gathering
- Data-driven decision-making
46. A problem is an obstacle to be solved, an issue is a topic to investigate, and a question is designed to discover information.
- True
- False
47. A data analyst focuses much of their work effort for a business on what?
- Complaints
- Strategies
- Breakthroughs
- Business tasks
48. When reviewing student data, a data analyst calculates course pass rates across the entire student population in two ways: once for students in academic support programs and once for students not utilizing academic support. What would be an example of a factor creating a bias in this example?
- Ensuring a large enough sample size is used
- Picking and choosing data from the data set
- Not accounting for opportunities to utilize support programs
- Considering systemic issues that may influence data
49. Fill in the blank: A problem is an obstacle to be solved, an issue is a topic to investigate, and a _____ is designed to discover information.
- question
- breakthrough
- business task
- theme
50. Which of the following are examples of fairness in data analysis? Select all that apply.
- Making sure a sample population represents all groups
- Considering systematic factors that may influence data
- Picking and choosing which data to include from a dataset
- Factoring in social contexts that could create bias in conclusions
