Week 5 – Endless career possibilities

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

Devendra Kumar

Project Management Apprentice at Google

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