Quiz title: Ch 1 quiz Foundations of Data Communication
Title: Q1 Multiple Choice
Points: 1
1. How much data do businesses generate daily in our hyperconnected world?
a) 1.5 quintillion bytes
*b) 2.5 quintillion bytes
c) 3.5 quintillion bytes
d) 5.0 quintillion bytes

Title: Q2 Multiple Choice
Points: 1
2. What percentage of businesses struggle to transform their data streams into actionable insights according to McKinsey research?
a) 50%
*b) Over 60%
c) 40%
d) 75%

Title: Q3 Multiple Choice
Points: 1
3. Organizations that master data communication make decisions how much faster than their competitors?
a) 3x faster
*b) 5x faster
c) 7x faster
d) 10x faster

Title: Q4 Multiple Choice
Points: 1
4. What percentage higher profitability do organizations with effective data communication achieve?
a) 15%
*b) 23%
c) 30%
d) 19%

Title: Q5 Multiple Choice
Points: 1
5. Data-driven organizations are how many times more likely to acquire customers?
*a) 23 times
b) 19 times
c) 6 times
d) 15 times

Title: Q6 Multiple Choice
Points: 1
6. What represents the critical bridge between raw information and informed decision-making?
a) Data analysis
*b) Data communication
c) Data visualization
d) Data storage

Title: Q7 Multiple Choice
Points: 1
7. According to the Netflix example, what enabled their transformation from DVD rentals to streaming dominance?
a) Better technology
b) More data collection
*c) Data communication excellence
d) Lower prices

Title: Q8 Multiple Choice
Points: 1
8. What happens when stakeholders receive data that is technically accurate but practically incomprehensible?
*a) Decision paralysis
b) Faster decisions
c) Better outcomes
d) Increased confidence

Title: Q9 Multiple Choice
Points: 1
9. What is the most insidious cost of poor data communication mentioned in the text?
a) Delayed decisions
b) Missed opportunities
*c) Erosion of trust in data and analytics
d) Increased costs

Title: Q10 Multiple Choice
Points: 1
10. The first principle of effective data communication is:
*a) Know Your Audience Deeply
b) Use Advanced Visualizations
c) Collect More Data
d) Create Complex Reports

Title: Q11 Multiple Choice
Points: 1
11. What does the principle of progressive disclosure involve?
a) Hiding important information
*b) Starting with key insights then providing supporting detail
c) Using complex technical terms
d) Presenting all information at once

Title: Q12 Multiple Choice
Points: 1
12. Every compelling data story includes how many essential elements?
a) Two
*b) Three
c) Four
d) Five

Title: Q13 Multiple Choice
Points: 1
13. The three essential elements of a data story are:
*a) Context, conflict, and resolution
b) Data, charts, and conclusions
c) Problem, analysis, and solution
d) Introduction, body, and conclusion

Title: Q14 Multiple Choice
Points: 1
14. What does "conflict" mean in the context of data storytelling?
a) Disagreement between team members
*b) Tension between current conditions and desired outcomes
c) Contradictory data sources
d) Technical problems with analysis

Title: Q15 Multiple Choice
Points: 1
15. Which chart type is best for comparing quantities across categories?
*a) Bar charts
b) Line charts
c) Pie charts
d) Scatter plots

Title: Q16 Multiple Choice
Points: 1
16. Which chart type effectively shows trends over time?
a) Bar charts
*b) Line charts
c) Pie charts
d) Heat maps

Title: Q17 Multiple Choice
Points: 1
17. What do scatter plots reveal?
a) Trends over time
b) Proportions of a whole
*c) Relationships between variables
d) Category comparisons

Title: Q18 Multiple Choice
Points: 1
18. The principle of data-ink ratio was introduced by:
a) Kimberly Seefeld
b) McKinsey researchers
*c) Edward Tufte
d) Netflix analysts

Title: Q19 Multiple Choice
Points: 1
19. What does the data-ink ratio principle suggest?
a) Use more decorative elements
*b) Maximize ink used for actual data while minimizing non-essential elements
c) Use more colors in visualizations
d) Create complex designs

Title: Q20 Multiple Choice
Points: 1
20. What does the SUCCESS formula in IBCS stand for?
a) Seven principles for business success
*b) Say, Unify, Condense, Check, Express, Simplify, and Structure
c) Standards for data collection
d) Steps for data analysis

Title: Q21 Multiple Choice
Points: 1
21. What is the primary purpose of visual hierarchy in data communication?
*a) Guide audience attention to the most important information first
b) Make documents look more professional
c) Use more colors and fonts
d) Fill empty space

Title: Q22 Multiple Choice
Points: 1
22. Statistical integrity in data communication requires:
a) Using only simple statistics
*b) Presenting data with appropriate context, including sample sizes and limitations
c) Avoiding all statistical analysis
d) Using only visual elements

Title: Q23 Multiple Choice
Points: 1
23. What should guide the selection of communication format?
a) Personal preference only
b) Available technology only
*c) Audience, data, objectives, and organizational context
d) Industry trends only

Title: Q24 Multiple Choice
Points: 1
24. According to the text, what determines whether analysis creates value or gets ignored?
a) The complexity of the analysis
b) The amount of data collected
*c) The ability to communicate data effectively
d) The software tools used

Title: Q25 Multiple Choice
Points: 1
25. What is the most important measure of communication effectiveness mentioned in the text?
a) Number of charts created
b) Complexity of analysis
c) Audience engagement metrics
*d) Whether stakeholders act on recommendations
