Module 1: Ask Effective Questions Answers (Part 3: Q31–45)
This is Part 3 of the Module 1 quiz answers for “Ask Effective Questions” from the Google Data Analytics Professional Certificate on Coursera.
Here, we’ll walk through questions 31 to 45 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
31. The share phase of the data analysis process typically involves which of the following activities? Select all that apply.
- Summarizing results using data visualizations ✅
- Communicating findings ✅
- Creating a slideshow to present to stakeholders ✅
- Putting analysis into action to solve a problem
Explanation:
The “Share” phase is all about presenting insights in an understandable way.
32. A company wants to make more informed decisions regarding next year’s business strategy. An analyst uses data to help identify how things will likely work out in the future. This is an example of which problem type?
- Making predictions ✅
- Spotting something unusual
- Identifying themes
- Discovering connections
Explanation:
Using past data to forecast future outcomes is the core of making predictions.
33. Fill in the blank: Categorizing things involves assigning items to categories, whereas _____ takes those categories a step further, grouping them into broader classifications.
- Making predictions
- Finding patterns
- Discovering connections
- Identifying themes ✅
Explanation:
After categorizing, you find higher-level groupings or patterns, known as themes.
34. Questions that make assumptions often involve concepts that are formed without evidence. An example of this is an idea that is accepted as true without proof.
- True ✅
- False
Explanation:
Assumptive questions can lead to biased or inaccurate results because they’re based on unstated beliefs.
35. A garden center wants to attract more customers. A data analyst in the marketing department suggests advertising in popular landscaping magazines. This is an example of what practice?
- Reaching your target audience ✅
- Collecting customer information
- Monitoring social media feedback
- Developing a data analytics case study
Explanation:
They’re trying to connect with people likely interested in gardening and landscaping.
36. Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader themes or classifications.
- True ✅
- False
Explanation:
That’s the basic progression—items → categories → themes.
37. Which of the following examples are closed-ended questions? Select all that apply.
- Is math your favorite subject? ✅
- What grade did you get on the math test? ✅
- How old are you? ✅
- What are your thoughts about math?
Explanation:
Closed-ended questions are ones with specific, limited answers, like yes/no or factual responses.
38. The question, “How could we improve our website to simplify the returns process for our online customers?” is action-oriented.
- True ✅
- False
Explanation:
This question encourages action by asking how to improve a specific issue.
39. Which of the following questions make assumptions? Select all that apply.
- Keeping employees engaged is important, isn’t it? ✅
- Wouldn’t you agree that product A is better than product B? ✅
- Did you get through to customer service?
- It must be frustrating waiting on hold for so long, right? ✅
Explanation:
These questions embed assumptions that may not align with the respondent’s experience or opinion. Neutral, unbiased questions are essential to gathering accurate and reliable data.
40. Structured thinking involves recognizing the current problem or situation you’re facing and identifying your options.
- True ✅
- False
Explanation:
That’s exactly what structured thinking is—clearly understanding a situation and exploring logical next steps.
41. Which of the following examples are leading questions? Select all that apply.
- How satisfied were you with our customer representative? ✅
- What do you enjoy most about our service? ✅
- In what ways did our product meet your needs? ✅
- How did you learn about our company?
Explanation:
A leading question subtly prompts the respondent to answer in a particular way. For example:
- “How satisfied…” assumes the person was satisfied.
- “What do you enjoy…” assumes they did enjoy something.
- “In what ways…” assumes the product met their needs.
These types of questions can skew results and should be avoided in unbiased data collection.
42. On a customer service questionnaire, a data analyst asks, “If you could contact our customer service department via chat, how much valuable time would that save you?” Why is this question unfair?
- It is closed-ended
- It uses slang words that not everyone can understand
- It is vague
- It makes assumptions ✅
Explanation:
The question assumes that:
- Chat would save time.
- That time is valuable to the respondent. This biases the answer and doesn’t give room for alternative perspectives, making it unfair.
43. Fill in the blank: To apply structured thinking, a data analyst should ______ the available information in order to reveal gaps and opportunities and recognize the current problem or situation.
- organize ✅
- communicate
- share
- record
Explanation:
Structured thinking starts with organizing information. This allows analysts to spot:
- Gaps in the data.
- Opportunities for analysis.
- A clear understanding of the problem or situation.
44. A national chain of sporting goods stores advertises during popular sporting television broadcasts. This is an example of the company doing what?
- Reaching its target audience ✅
- Demonstrating its support for a sports team
- Defining the problem to be solved
- Monitoring social feedback
Explanation:
They’re showing ads where their audience is likely watching — sports fans watching sports shows. This is targeted marketing.
45. In data analysis, categorizing things involves which of the following?
- Creating new classifications for items and assigning grades to items
- Assigning items to categories ✅
- Taking an inventory of items
- Determining how items are different from each other
Explanation:
Categorizing is about grouping data points into pre-defined or logical buckets to make them easier to analyze and interpret.
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