1.04 DS FS - Data Questions Quiz Review

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The Data Cycle for a Research Project begins with the Question/Problem Formulation.

Put the rest of the part of the Data Cycle in the correct order.

• Data Acquisition and Collection

• Data Processing

• Data Communication

• Data Modeling and Analysis

• Data Visualization and Representation

The Data Cycle for an Exploratory Data Analysis is different from the Data Cycle for a Research Project because in an Exploratory Data Analysis, you are given the raw data and must come up with the question/problem.

Put the rest of the part of the Data Cycle for an Exploratory Data Analysis in the correct order.

• Question/Problem Formulation

• 3- Data Processing, 4 - Data Visualization and Representation, 5 - Data Modeling and Analysis, 6 - Data Communication

• Data Acquisition and Collection

What is the first step in the Research Project Data Cycle?

• Data Acquisition and Collection

• Data Processing

• Question/Problem Formulation

• Data Modeling and Analysis

Which of the following is NOT a consideration when writing a research question?

• Feasibility

• Specificity

• Subjectivity

• Fruitfulness

Answer explanation

The answer is 'Subjectivity'. When formulating a research question, the goal is to remain as objective as possible to avoid bias. Other considerations like 'Feasibility' refers to whether the research can realistically be done. 'Specificity' concerns the focus of the research, and 'Fruitfulness' pertains to whether the research will contribute to the existing body of knowledge.

What should be considered when determining if a question is fruitful?

• The number of variables or considerations

• The simplicity of the answer

• The availability of the answer on Google

• The ethical implications

Answer explanation

A question is considered fruitful when it involves a number of variables or considerations. This is because it leaves room for analysis, critical thinking, and detailed exploration. While the simplicity of the answer, its availability on Google, or the ethical implications may be factors, they do not determine the fruitfulness of a question.

What is the correct order of steps in the Data Cycle for Exploratory Data Analysis?

• Data Acquisition and Collection, Question/Problem Formulation

• Question/Problem Formulation, Data Acquisition and Collection

• Data Processing, Data Visualization and Representation

• Data Visualization and Representation, Data Modeling and Analysis

Why is it important to consider ethics when writing a research question?

• To ensure the data is reliable

• To avoid spreading misinformation

• To protect the safety of participants

• To make the question more fruitful

What requirement of a good Data Question is this question missing?

 

"What is the most popular brand of clothing in the United States?"

• It cannot be answered with data

• It is not fruitful

• It is not specific

• It is not objective

What requirement of a good Data Question is this question missing?

 

"Are girls more successful than boys?"

• It cannot be answered with data

• It is not fruitful

• It is not specific

• It is not ethical