Question

1. a company purchases a large block of data from a social media site. if they want to analyze the data to learn more about potential customers, what techniques should they use?

a. simulations to test different hypotheses about what data could be present
b. data analysis to identify patterns and relationships in the data for further analysis
c. maximization to get the highest return on their purchase of the data
d. data processing to use the data with existing company software to see if it will run on their systems or if new ones will need to be developed

1. a magnet school wants to advertise its students’ success taking ap exams to prospective families. what’s the best method to share the summarized data?

a. post an image of student results on social media sites.
b. create an interactive pie chart that can drill down to topics and overall scores posted on the school’s website.
c. write a report for a marketing pamphlet.
d. send an e-mail to families with middles chool age children.

Explanation:

Question 11

To learn about potential customers from social media data, the company needs to find patterns/relationships in the data. Option A (simulations for hypotheses) is not for existing data analysis. Option C (maximization for return) is not about customer analysis. Option D (data processing for system compatibility) is about technical setup, not customer insights. So B is correct.

To share summarized AP exam success data with prospective families, an interactive pie chart on the school’s website (Option B) allows easy access and detailed exploration. Option A (posting student results images) may violate privacy. Option C (report in pamphlet) is less accessible/interactive. Option D (email to middle school families) targets a narrow group and is less effective for sharing with all prospective families. So B is best.

Answer:

B. Data analysis to identify patterns and relationships in the data for further analysis

Question 12