Inferences/Observations and Qualitative/Quantitative Data

Front

What is qualitative data?

Back

Qualitative data refers to descriptive information that cannot be measured or counted. It often includes characteristics, qualities, or attributes.

Front

What is quantitative data?

Back

Quantitative data refers to numerical information that can be measured or counted. It is often expressed in numbers and can be used for statistical analysis.

Front

Give an example of qualitative data.

Back

An example of qualitative data is the color of a car, such as 'red' or 'blue'.

Front

Give an example of quantitative data.

Back

An example of quantitative data is the height of a person, such as '160 cm'.

Front

What is an observation?

Back

An observation is a statement based on what is seen, heard, or measured directly.

Front

What is an inference?

Back

An inference is a conclusion drawn based on observations and prior knowledge, rather than direct measurement.

Front

How can you differentiate between observation and inference?

Back

Observation is about what you see or measure, while inference is about what you conclude from those observations.

Front

What is the importance of quantitative data in experiments?

Back

Quantitative data is important in experiments because it allows for precise measurement and statistical analysis, leading to more reliable results.

Front

What is the role of qualitative data in research?

Back

Qualitative data helps to provide context and understanding of the subject being studied, often revealing insights that numbers alone cannot.

Front

What type of data is 'the temperature is warm'?

Back

This is qualitative data because it describes a quality rather than a measurable quantity.