- (Topic 1)
Collaborative games are used by a business analyst to identify the research questions to be explored within an analytics system.
Participants are asked to write down a research question on a sticky note, put the notes on the wall,and move them towards related research questions. What type of Collaborative game is being played?

1. A. Affinity Map
2. B. Fishbowl
3. C. People polling
4. D. Product Box

Correct Answer: A
An affinity map is a collaborative game that helps participants to group similar ideas or features together. It is useful for identifying research questions that are related to each other and finding common themes or patterns. In this game, participants write down their research questions on sticky notes and place them on the wall. Then, they move the notes around to form clusters of related questions. The clusters can be labeled with a descriptive name or a question that summarizes the theme. An affinity map can help participants to prioritize the most important or relevant research questions and generate insights from the data. https://businessanalystmentor.com/collaborative-games-business-analysis/

- (Topic 1)
The analytics team is assessing the results of their analysis. They are surprised to find that their data indicates two events seem to be strongly related even though the general belief in the organization is that they are independent of each other. Knowing that this information will be used for decision making, they are concerned about presenting this data. At an impasse, the business analysis professional reminds them that the data can be presented as long as the team has:

1. A. Review the results with management ahead of time and highlight any potential risk of using this data
2. B. Confidence that the correlation will reliably occur in the future and the risk of acting on this is low
3. C. Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low
4. D. The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this

Correct Answer: D
The ability to rerun the data analysis and the results are the same is the condition that the team should have before presenting the data, because it is a technique that ensures the validity, reliability, and reproducibility of the data analysis. By rerunning the data analysis, the team can verify that the results are consistent and not affected by random errors, biases, or anomalies. The team can also confirm that the data analysis process is well- documented, transparent, and traceable, and that the results can be replicated by other analysts or stakeholders. This can minimize the risk of acting on the data, and increase the confidence and trust in the data analysis. References:
•Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 4: Interpret and Report Results
•Understanding the Guide to Business Data Analytics, page 9
•Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 4: Interpretand Report Results, Lecture 20: Data Validation and Verification

- (Topic 2)
A large number of text messages are received by Twitter each year making Twitter one example of Big Data. What data characteristic represents this large number of text messages?

1. A. Veracity
2. B. Velocity
3. C. Value
4. D. Variety

Correct Answer: B
Velocity is one of the four V??s of Big Data, along with Volume, Variety, and Veracity. Velocity refers to the speed at which data is generated, collected, and processed. A large number of text messages received by Twitter each year is an example of high- velocity data, as it requires real-time or near-real-time processing and analysis to extract insights and value from it. High-velocity data poses challenges and opportunities for business data analytics, as it requires efficient and scalable data infrastructure, streaming analytics, and timely decision-making.
References:1, page 9; 2, page 6.

- (Topic 2)
The results for a certification exam were revealed in percentage and percentile. How would you infer the results for an attendee at: 75%, 90th percentile?

1. A. While the attendee's exam score was 90/100. the attendee did better than 75% of the attendees
2. B. While the attendee's exam score was 90/100. the attendee did better than 25% of the attendees
3. C. While the attendee's exam score was 75/100. the attendee did better than 10% of the attendees
4. D. While the attendee's exam score was 75/100. the attendee did better than 90% of the attendees

Correct Answer: D
A percentage is a way of expressing a number as a fraction of 100, while a percentile is a way of expressing a number as a rank or position in a distribution of values. A percentage tells us how much of something there is, while a percentile tells us how well something performed compared to others. To infer the results for an attendee at 75%, 90th percentile, we need to understand what these two numbers mean.
✑ 75% means that the attendee scored 75 out of 100 possible points on the exam.
This is the absolute score of the attendee, which does not depend on how others performed.
✑ 90th percentile means that the attendee scored higher than 90% of all the attendees who took the exam. This is the relative score of the attendee, which depends on how others performed. For example, if there were 1000 attendees, the 90th percentile would mean that the attendee scored higher than 900 attendees, and lower than 100 attendees.
Therefore, the correct inference is that while the attendee??s exam score was 75/100, the attendee did better than 90% of the attendees. This means that the attendee??s score was above average, and that the exam was relatively difficult or had a low pass
rate. References:
✑ Difference Between Percentage and Percentile | Major Differences - BYJU??S, BYJU??S, accessed on January 20, 2024.
✑ Difference Between Percentage and Percentile (with Examples and Comparison Chart) - Key Differences, Key Differences, accessed on January 20, 2024.
✑ Certification in Business Data Analytics (IIBA ® - CBDA), IIBA, accessed on January 20, 2024.

- (Topic 2)
A fifty-year-old brick and mortar business is interested in determining the potential for selling their current products online. The sales director has asked the analytics team to predict future sales for their most popular product. A simple question is formed "Would you buy this product online?" The sales director would like to survey students from local colleges and universities within a 50km radius.As a result, the team will conclude:

1. A. The sample size being considered may be too large to work with
2. B. The research question will be easily answered with currently available data
3. C. Focusing on a 50km radius will allow the team to complete the analysis quickly
4. D. The survey will establish a poor study population

Correct Answer: D
According to the Guide to Business Data Analytics, a study population is the subset of the population that meets the eligibility criteria for the research question. A study population should be representative of the population of interest and relevant to the business problem or opportunity. In this situation, the survey will establish a poor study population because the students from local colleges and universities within a 50km radius may not reflect the characteristics, preferences, and behaviours of the potential online customers for the fifty-year-old brick and mortar business. The students may have different demographics, income levels, shopping habits, and needs than the target market for the business. Therefore, the survey results may not be generalizable or applicable to the population of interest and may not provide valid and reliable insights for predicting future sales.
References: Guide to Business Data Analytics, page 48-49; CBDA Exam Blueprint, page 7; Population vs. Sample | Definitions, Differences & Examples - Scribbr