Module 5: Endless Career Possibilities Answers (Part 2: Q16–30)
This is Part 2 of the Module 5 quiz answers for “Endless Career Possibilities)” from the Google Data Analytics Professional Certificate on Coursera.
Here, we’ll walk through questions 16 to 30 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
16. When you make decisions using observation and intuition as a guide, you only see part of the picture. What can improve your decision-making?
- Using data ✅
- Using assumptions
- Creating surveys
- Being decisive
Explanation:
Data provides objective insight that surpasses what observation or intuition alone can offer.
17. Data analysts ensure their analysis is fair for what reason?
- Fairness helps them avoid biased conclusions. ✅
- Fairness helps them stay organized.
- Fairness helps them communicate with stakeholders.
- Fairness helps them pick and choose which data to include from a dataset.
Explanation:
Fairness ensures that results aren’t biased, promoting ethical and accurate conclusions.
18. A large hotel chain sees about 500 customers per week. A data analyst working there is gathering data through customer satisfaction surveys. They are anxious to begin analysis, so they start analyzing the data as soon as they receive 50 survey responses. This is an example of what? Select all that apply.
- Failing to include diverse perspectives in data collection ✅
- Failing to collect data anonymously
- Failing to reward customers for participating in the survey
- Failing to have a large enough sample size ✅
Explanation:
With only 50 out of 500+, the sample is too small and likely not representative, leading to biased conclusions.
19. An online gardening magazine wants to understand why its subscriber numbers have been increasing. What kind of reports can a data analyst provide to help answer that question? Select all that apply.
- Reports that describe how many customers shared positive comments about the gardening magazine on social media in the past year ✅
- Reports that predict the success of sales leads to secure future subscribers
- Reports that examine how a recent 50%-off sale affected the number of subscription purchases ✅
- Reports that compare past weather patterns to the number of people asking gardening questions to their social media ✅
Explanation:
Each selected report provides insight into factors affecting customer behavior, helping explain subscription trends.
20. Fill in the blank: In data analytics, a question is _____.
- an obstacle or complication that needs to be worked out
- a way to discover information ✅
- a topic to investigate
- a subject to analyze
Explanation:
In analytics, a question guides the data process by identifying what needs to be explored or answered.
21. What must a data analyst establish before they can start to plan the best approach to gather and analyze information?
- The business task ✅
- The statement
- The complaint
- The solution
Explanation:
The business task defines the goal or problem to solve. It sets the direction for the analysis, helping analysts choose the right data and methods.
22. What is the process of using facts to guide business strategy?
- Data-driven decision-making ✅
- Data ethics
- Data visualization
- Data programming
Explanation:
This approach relies on objective data rather than assumptions or instincts, leading to more accurate and reliable business strategies.
23. A data analyst is developing a model. They start by gathering data for groups that are underrepresented in a sample. What strategy could they employ to ensure these groups are represented fairly?
- Oversample the underrepresented group ✅
- Sample the underrepresented group normally
- Combine the underrepresented group with another group
- Exclude the underrepresented group from the sample
Explanation:
Oversampling helps balance representation and ensures that data reflects the experiences and needs of all groups.
24. A restaurant is trying to develop more effective staffing strategies. A data analyst recognizes that there are significantly fewer customers earlier in the business day. They conclude that opening later would be more effective for staffing. What is this an example of?
- Creating efficiencies by analyzing customer foot traffic ✅
- Tailoring products to consumer buying habits
- Creating more effective customer communication
- Gathering customer opinions about business changes
Explanation:
Using traffic data helps optimize staffing, reducing costs and improving service during peak and slow hours.
25. 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
Explanation:
Understanding demand patterns allows better inventory planning and reduces the chance of running out of popular dishes.
26. 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
Explanation:
This is a specific task assigned to the analyst to help improve operational efficiency.
27. 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
Explanation:
Data-driven decision-making uses factual insights to form strategies. It avoids relying solely on intuition or gut instinct.
28. 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
Explanation:
Leaving out data skews the results and may misrepresent the true picture.
29. 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
Explanation:
Random sampling across different times ensures a diverse representation of guest experiences, reducing the likelihood of bias.
30. 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 ✅
Explanation:
These data sources help forecast busy periods and adjust staffing accordingly.
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