Module 4: Always Remember the Stakeholder Answers (Part 3: Q31–35)

This is Part 3 of the Module 1 quiz answers for “Introducing Data Analytics and Analytical Thinking” from the Google Data Analytics Professional Certificate on Coursera.

Here, we’ll walk through questions 31 to 35 with detailed explanations to support your learning.

To find answers to the remaining questions, check out the full module breakdown below:

31 Conflict is a natural part of working on a team. What are some ways to help shift a situation from problematic to productive? Select all that apply.

  • Take a moment to check your emotions before engaging in an argument. ✅
  • Ask for a conversation to help you better understand the big picture. ✅
  • Reframe the question by asking, “How can I help?” ✅
  • Identify the person who caused the issue so they can take responsibility.

Explanation:
Constructive conflict resolution starts with emotional regulation and a collaborative mindset. Shifting from blame to understanding helps teams focus on solutions rather than problems. The final option about blaming someone doesn’t help and can damage trust.

32. Data analysts focus on statistical significance to make sure they have enough data so that a few unusual responses don’t skew results.

  • True
  • False ✅

Explanation:
Analysts focus on sample size, not statistical significance, to ensure there’s enough data to minimize the impact of outliers.

33. A data analyst feels overworked. They often stay late to finish work, and have started missing deadlines. Their supervisor emails them another project to complete, and this causes the analyst even more stress. How should they handle this situation?

  • Accept the new project right away and hope to not miss another deadline.
  • Wait a few minutes to think it over, then respond with a meeting request to discuss this project and the general workload. ✅
  • Walk into the supervisor’s office and tell them to give the project to someone else.
  • Respond immediately, letting the supervisor know the expectations at this company are unreasonable.

Explanation:
Waiting to calm down and having a professional discussion about workload ensures effective communication and a balanced resolution.

34. When participating in an online meeting, it’s okay to keep your inbox open in another browser window. Participants won’t be distracted because they can’t see it, and you might receive a very important message.

  • True
  • False ✅

Explanation:
Even if others can’t see it, multitasking reduces your attention and engagement. It’s best to give your full attention to the meeting to ensure you don’t miss critical updates or come across as unprofessional.

35. To make sure that a few unusual responses don’t skew results or lead to inaccurate judgements, a data analyst focuses on what element of the data collection?

  • Statistical significance
  • Sample size ✅
  • Visualization
  • Data cleaning

Explanation:
Sample size is key in analytics. A large and representative sample ensures that outliers (unusual data points) don’t distort results. Statistical significance comes after ensuring you’ve collected enough good data.

Part 2 (Q16–30)

Congratulations! You’ve completed all 65 questions. Share this post if it helped you, and check out other Coursera quiz answers below.

Related contents:

Module 1: Ask effective questions
Module 2: Make data-driven decisions
Module 3: Spreadsheet magic
Module 4: *Course challenge*

You might also like:

Course 1: Foundations: Data, Data, Everywhere
Course 3: Prepare Data for Exploration
Course 4: Process Data from Dirty to Clean
Course 5: Analyze Data to Answer Questions
Course 6: Share Data Through the Art of Visualization
Course 7: Data Analysis with R Programming
Course 8: Google Data Analytics Capstone: Complete a Case Study

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