Understanding Data Types and Categories

What type of data is used to label variables without any order or quantitative value?

• Ordinal Data

• Nominal Data

• Discrete Data

• Continuous Data

Which of the following is an example of ordinal data?

• Eye Colour

• Number of students in a class

• Ranking of people in a competition

• Room Temperature

What type of data can be expressed in numerical values and is countable?

• Qualitative Data

• Nominal Data

• Quantitative Data

• Ordinal Data

Which of the following is an example of discrete data?

• Height of a person

• Speed of a vehicle

• Total number of players in a competition

• Wi-Fi Frequency

What type of data is represented by fractional numbers and can be divided into smaller levels?

• Discrete Data

• Nominal Data

• Ordinal Data

• Continuous Data

Which of the following is NOT a characteristic of qualitative data?

• It can be measured in numbers

• It is sorted by category

• It includes audio, images, symbols, or text

• It tells about the perception of people

Which of the following is an example of nominal data?

• Economic Status (High, Medium, Low)

• Marital Status (Single, Widowed, Married)

• Scores in an exam

• Room Temperature

What type of data is used for observation like customer satisfaction but cannot be used for arithmetical tasks?

• Nominal Data

• Ordinal Data

• Discrete Data

• Continuous Data

Which of the following is an example of continuous data?

• Number of employees in a company

• Days in a week

• Market share price

• Total number of students present in a class

What is the main difference between discrete and continuous data?

• Discrete data can be fractional, continuous data cannot

• Discrete data is qualitative, continuous data is quantitative

• Discrete data contains whole numbers, continuous data contains fractional numbers

• Discrete data is always nominal, continuous data is always ordinal