Understanding Data Types and Management

Which of the following is an example of qualitative data?

• Age of a person

• Height of a tree

• Color of a car

• Weight of a dog

Quantitative data can be best described as:

• Data that is subjective and descriptive

• Data that can be measured and expressed in numerical terms

• Data that describes qualities or characteristics

• Data that cannot be measured

What is the main purpose of data management?

• To collect qualitative data

• To organize, store, and maintain data effectively

• To analyze data using statistical methods

• To create visual representations of data

Primary data is:

• Data that is collected from existing sources like books or websites

• Data collected directly from a source for a specific research purpose

• Data that is secondary to the study

• Data that involves personal opinion and judgment

An example of secondary data is:

• Survey results from your own experiment

• Data from census reports

• Interviews conducted for a research study

• Observational data collected from a specific setting

Which of the following is NOT a source of data in data analytics?

• Surveys and questionnaires

• Direct observations

• Expert opinions

• Speculative assumptions

What type of data would you collect when measuring the number of students in a class?

• Nominal data

• Ordinal data

• Interval data

• Ratio data

The process of organizing and maintaining data for easy retrieval is called:

• Data collection

• Data management

• Data analysis

• Data transformation

Which of the following best describes qualitative data?

• Numerical data that can be measured

• Data that can be classified into categories based on characteristics or qualities

• Data that represents time or money

• Data that requires mathematical analysis for interpretation

Structured data typically refers to:

• Data that has a high level of organization and is stored in databases

• Data that lacks any clear format or organization

• Data that is mostly qualitative in nature

• Data that changes rapidly and is unorganized