Podcast
Questions and Answers
What is the main difference between data and information?
What is the main difference between data and information?
- Data is always numerical, while information is always descriptive.
- Data is tangible, while information is intangible.
- Data is raw and unprocessed, while information is analyzed and interpreted. (correct)
- Data is static, while information is dynamic.
Which of the following is an example of quantitative data?
Which of the following is an example of quantitative data?
- Observations about a phenomenon
- Name of a person
- Eye color of a person
- Temperature readings in a location over several years (correct)
Why does data need to be analyzed and interpreted to have meaning?
Why does data need to be analyzed and interpreted to have meaning?
- Because data is always numerical and needs to be converted to descriptive information.
- Because data can be simple and useless until it is analyzed, organized, and interpreted. (correct)
- Because data is always raw and unprocessed.
- Because data is tangible and needs to be converted to intangible information.
Which type of data is provided in numerical form?
Which type of data is provided in numerical form?
What does the term 'information' refer to?
What does the term 'information' refer to?
Data can come in the form of text, observations, figures, images, numbers, graphs, or symbols.
Data can come in the form of text, observations, figures, images, numbers, graphs, or symbols.
Quantitative data is always numerical in form and doesn't include any descriptive elements.
Quantitative data is always numerical in form and doesn't include any descriptive elements.
Information is the result of analyzing and interpreting pieces of data.
Information is the result of analyzing and interpreting pieces of data.
Data is a raw form of knowledge and carries significance and purpose on its own.
Data is a raw form of knowledge and carries significance and purpose on its own.
Qualitative data can include non-numerical descriptors like name, sex, or eye color of a person.
Qualitative data can include non-numerical descriptors like name, sex, or eye color of a person.
Data can come in the form of text, observations, figures, images, numbers, graphs, or symbols.
Data can come in the form of text, observations, figures, images, numbers, graphs, or symbols.
Qualitative data is always numerical in form and doesn't include any descriptive elements.
Qualitative data is always numerical in form and doesn't include any descriptive elements.
Information is the result of analyzing and interpreting pieces of data.
Information is the result of analyzing and interpreting pieces of data.
Without any additional context, temperature readings in a location over several years have no meaning.
Without any additional context, temperature readings in a location over several years have no meaning.
Quantitative data is provided in non-numerical form.
Quantitative data is provided in non-numerical form.
