Week 5 – Endless career possibilities – Shuffle Q/A 4

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

Devendra Kumar

Project Management Apprentice at Google

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