foundations data data everywhere weekly challenge 5 answers
1. An online gardening magazine wants to understand why its subscriber numbers have been increasing. A data analyst discovers that significantly more people subscribe when the magazine has its annual 50%-off sale. This is an example of what?
- Analyzing consumer preferences using artificial intelligence
- Analyzing customer buying behaviors
- Analyzing social media engagement
- Analyzing the number of customers by calculating daily foot traffic
2. Fill in the blank: A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. To help solve this problem, a data analyst could investigate how many nurses are on staff at a given time compared to the number of _____.
- doctors seeing new patients
- patients with appointments
- negative comments about the wait times on social media
- doctors on staff at the same time
3. A problem is an obstacle to be solved, an issue is a topic to investigate, and a question is designed to discover information.
- True
- False
4. What is a question or problem that a data analyst answers for a business?
- Mission statement
- Hypothesis
- Complaint
- Business task
5. Fill in the blank: Data-driven decision-making is described as using _____ to guide business strategy.
- gut instinct
- visualizations
- facts
- intuition
6. It’s possible for conclusions drawn from data analysis to be both true and unfair.
- True
- False
7. A data analyst is analyzing fruit and vegetable sales at a grocery store. They’re able to find data on everything except red onions. What’s the best course of action?
- Ask a teammate for help finding data on red onions.
- Exclude red onions from the analysis.
- Exclude all onion varieties from the analysis.
- Use the data on white onions instead, as they’re both onion varieties.
8. Collaborating with a social scientist to provide insights into human bias and social contexts is an effective way to avoid bias in your data.
- True
- False
Shuffle Q/A 1
9. A restaurant hires a data analyst to determine the best times to have the restaurant open. Which of the following methods can the data analyst use to help build a better schedule for the restaurant? Select all that apply.
- Analyze weekly weather data
- Analyze staffing levels for different days
- Examine hourly customer numbers
- Survey customers on their preferred times to dine
10. A restaurant has noticed that customers often wait longer in line than in previous years. How could a data analyst help solve this problem?
- Analyze the average sales amount per customer
- Analyze customer survey results about the preferred opening hours of the restaurant
- Analyze the number of staff on shift at any time
- Analyze the products customers are purchasing
