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? Show Ans: Analyzing customer buying behaviors 2) A problem is an obstacle to be solved, an issue is a topic to investigate, and a question is designed to discover information. Ans: True 3) Fill in the blank: A business task is described as the problem or _____ a data analyst answers for a business. Ans: Question 4) Fill in the blank: Data-driven decision-making is described as using _____ to guide business strategy. Ans: Facts 5) Which of the following examples describe fairness in data analysis? Select all that apply. Ans:
6) A large hotel chain sees about 500 customers per week. A data analyst working there is gathering data through customer satisfaction surveys. They are anxious to begin analysis, so they start analyzing the data as soon as they receive 50 survey responses. This is an example of what? Select all that apply. Ans:
7) A magazine wants to understand why its subscribers have been increasing. A data analyst could help answer that question with a report that predicts the result of a half-price sale on future subscription rates. Ans: False 8) A doctor’s office discovers that patients are waiting 20 minutes longer for their appointments than in past years. In what ways could a data analyst help solve this problem? Select all that apply. Ans:
9) Describe the difference between a question and a problem in data analytics. Ans: A question is designed to discover information, whereas a problem is an obstacle or complication that needs to be solved. 10) What is a question or problem that a data analyst answers for a business? Ans: Business task 11) A data analyst is analyzing fruit and vegetable sales at a grocery store. They’re able to find data on everything except red onions. If they exclude red onions from the analysis, this would be an example of creating or reinforcing bias. Ans: True 12) 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. Ans:
13) 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 _____. Ans: patients with appointments 14) 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. Ans: Questions 15) Data-driven decision-making is using facts to guide business strategy. The benefits include which of the following? Select all that apply. Ans:
16) It’s possible for conclusions drawn from data analysis to be both true and unfair. Ans: True 17) Data analysts ensure their analysis is fair for what reason? Ans: Fairness helps them avoid biased conclusions. 18) 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? Ans: Use the data on white onions instead, as they’re both onion varieties.
Which of the following examples describe using data to achieve business results?Correct. Analyzing user preferences to customize movie recommendations and analyzing product purchases to create better promotions are examples of using data to achieve business results.
What are the 3 steps involved in data5 Steps to Data-Driven Business Decisions. Step 1: Strategy.. Step 2: Identify key areas.. Step 3: Data targeting.. Step 4: Collecting and analyzing.. Step 5: Action Items.. What different types of data are used by the business to make decisions?So, let's dive right in!. 4 Data Analytics Types for Improved Decision Making. Suppose you wish to find out the business trends for the previous financial year and get a data-driven explanation for them. ... . Descriptive analytics. ... . Diagnostic analytics. ... . Predictive analytics. ... . Prescriptive analytics.. Which of the following terms describes this type of data?Which of the following terms describes this type of data? Correct. Static data is data that doesn't change once it's been recorded.
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