1.5.4.Weekly challenge 5 - sj50179/Google-Data-Analytics-Professional-Certificate GitHub Wiki

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Question 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 customer buying behaviors

  • Analyzing consumer preferences using artificial intelligence

  • Analyzing the number of customers by calculating daily foot traffic

  • Analyzing social media engagement

Correct. Data analysts help companies learn from historical data in order to make predictions. A sale’s affect on subscription purchases is an example of customer buying behavior analysis.

Question 2

A doctor’s office has discovered that patients are waiting 20 minutes longer for their appointments than in past years. A data analyst could help solve this problem by analyzing how many doctors and nurses are on staff at a given time compared to the number of patients with appointments.

  • True

  • False

Correct. Analyzing staffing and patient numbers would likely provide useful insights about why patients are waiting longer for their appointment times and to help solve this problem.

Question 3

Fill in the blank: A problem is an obstacle to be solved, an issue is a topic to investigate, and a _____ is designed to discover information.

  • question

  • business task

  • breakthrough

  • theme

Correct. A problem is an obstacle or complication to be solved, whereas a question is designed to discover information. These two things are the foundation of business tasks.

Question 4

Data analysts answer questions and solve problems. These are called business tasks.

  • True

  • False

Correct. Data analysts answer questions and solve problems, which are called business tasks.

Question 5

Fill in the blank: Data-driven decision-making is described as using _____ to guide business strategy.

  • gut instinct

  • visualizations

  • intuition

  • facts

Correct. Data-driven decision-making is using facts to guide business strategy.

Question 6

It’s possible for conclusions drawn from data analysis to be both true and unfair.

  • True

  • False

Correct. Sometimes, a conclusion may be true, but it’s unfair because it doesn’t represent all groups or it ignores social context and other systemic factors.

Question 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?

  • Exclude red onions from the analysis.

  • Ask a teammate for help finding data on red onions.

  • Exclude all onion varieties from the analysis.

  • Use the data on white onions instead, as they’re both onion varieties.

Correct. If a data analyst were to analyze all fruits and vegetables except for onions, the outcomes would not be fair because the data is not representative of all fruits and vegetables sold in grocery stores.

Question 8

A gym wants to start offering exercise classes. A data analyst plans to survey 10 people to determine which classes would be most popular. To ensure the data collected is fair, what steps should they take? Select all that apply.

  • Ensure participants represent a variety of profiles and backgrounds.

  • Survey only people who don’t currently go to the gym.

  • Collect data anonymously.

  • Increase the number of participants.

_Correct. Ensuring participants represent a variety of profiles and backgrounds, collecting data anonymously, and surveying more than just 10 people would all help ensure the data analysis is fair. _