Module 2: Make Data-Driven Decisions Answers (Part 2: Q16–30)
This is Part 2 of the Module 2 quiz answers for “Make Data-Driven Decisions ” 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. A metric is a single, quantifiable type of data that can be used for what task?
- Setting and evaluating goals ✅
- Defining a problem type
- Cleaning data
- Sorting and filtering data
Explanation:
Metrics help track progress and assess success based on numbers.
17. Which of the following options describes a metric goal? Select all that apply.
- Evaluated using metrics ✅
- Indefinite
- Measurable ✅
- Based on theory
Explanation:
Metric goals are clearly defined and can be assessed using specific metrics.
18. Fill in the blank: Return on investment compares the _____ of an investment to the net profit gained from that investment.
- success
- purpose
- cost ✅
- timing
Explanation:
ROI evaluates the profitability of an investment by comparing its cost to the profit it generates.
19. Fill in the blank: A data analyst is using data to address a large-scale problem. This type of analysis would most likely require _____. Select all that apply.
- small data
- data that reflects change over time ✅
- data represented by a limited number of metrics
- big data ✅
Explanation:
Big data is needed to capture broad patterns and trends for large-scale solutions.
20. Fill in the blank: In data analytics, qualitative data _____. Select all that apply.
- is always time bound
- measures qualities and characteristics ✅
- is subjective ✅
- measures numerical facts
Explanation:
It’s descriptive and based on opinion or observation, not numbers.
21. Fill in the blank: A _____ is a data-summarization tool used to sort, reorganize, group, count, total, or average data.
- report
- dashboard
- function
- pivot table ✅
Explanation:
Pivot tables help organize and summarize large datasets easily.
22. Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.
- metric ✅
- finite
- conceptual
- benchmark
Explanation:
A metric goal = tied to specific measurable outcomes.
23. Describe the main differences between big and small data.
- Small data is typically stored and organized in databases. Big data is typically stored and organized in spreadsheets.
- Small data is less useful to data analysts. Big data is more useful to data analysts.
- Small data is specific and concerns a short time period. Big data is less specific and concerns a longer time period. ✅
- Small data has been cleaned and sorted. Big data has not yet been cleaned or sorted.
Explanation:
Small data is typically focused and short-term, while big data involves larger, more complex datasets spanning longer periods.
24. In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task.
- True
- False ✅
Explanation:
A pattern is a trend or repeated occurrence, not a set of steps.
25. In data analytics, quantitative data measures qualities and characteristics.
- True
- False ✅
Explanation:
Quantitative = numerical
Qualitative = descriptive qualities
26. In data analytics, reports use data that doesn’t change once it’s been recorded. Which of the following terms describes this type of data?
- Comprehensive
- Real-time
- Monitored
- Static ✅
Explanation:
Static data remains fixed once recorded, making it suitable for reports and historical analysis.
27. Which data-summarization tool do data analysts use to sort, reorganize, group, count, total, or average data?
- A function
- A pivot table ✅
- A dashboard
- A report
Explanation:
Pivot tables allow for sorting, grouping, totaling, and summarizing data in spreadsheets.
28. A metric is a specific type of data that companies use to identify a problem domain.
- True
- False ✅
Explanation:
Metrics help measure performance, not define problem areas.
29. Fill in the blank: A metric goal is a _____ goal set by a company that is evaluated using metrics.
- finite
- theoretical
- conceptual
- measurable ✅
Explanation:
If you can track it with numbers, it’s a metric goal.
30. A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.
- True ✅
- False
Explanation:
Short-term, individual-focused data = small data.
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