Introduction to Data Science Quiz

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10 Questions

Which of the following is an example of qualitative data?

The type of music a person listens to

What is the primary characteristic of qualitative or categorical data?

It is sorted by category, not by number

What does qualitative data help market researchers understand?

Customers' tastes and perceptions

What are the examples of qualitative data mentioned in the text?

Audio, images, symbols, and text

Which step used in Data Science involves understanding the customers' tastes and perceptions?

Exploratory data analysis

What is an example of qualitative data?

Opinion on something (agree, disagree, or neutral)

Which type of data can't be measured or counted in the form of numbers?

Categorical data

Which step in Data Science involves understanding the customers' tastes and perceptions?

Exploratory data analysis

What does qualitative or categorical data consist of?

Audio, images, symbols, or text

Which type of data helps market researchers understand the customers’ tastes and then design their ideas and strategies accordingly?

Categorical data

Study Notes

Qualitative Data

  • An example of qualitative data is opinions, attitudes, and beliefs.
  • The primary characteristic of qualitative or categorical data is that it cannot be measured or counted in the form of numbers.
  • Qualitative data helps market researchers understand the customers' tastes and perceptions.
  • Examples of qualitative data mentioned in the text are opinions, attitudes, and beliefs.
  • The step in Data Science that involves understanding the customers' tastes and perceptions is understanding the customers' tastes and perceptions.
  • Qualitative data can't be measured or counted in the form of numbers.
  • The step in Data Science that involves understanding the customers' tastes and perceptions is also the step that helps market researchers design their ideas and strategies accordingly.
  • Qualitative or categorical data consists of non-numerical data.
  • Qualitative data helps market researchers understand the customers’ tastes and then design their ideas and strategies accordingly.

Test your knowledge on the basics of data science including the applications of data science, types of data, classification of digital data, sources of data, and steps used in data science.

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