Data Types and Scientific Methods

Front

Data that deals with numbers and can be observed and measured, such as length, height, area, volume, weight, temperature, and humidity.

Back

Quantitative data

Front

Data that deals with descriptions and can be observed but not measured, such as colors, textures, smells, tastes, and appearances.

Back

Qualitative data

Front

How close measurements or data are to their true values.

Back

Accuracy

Front

The repeatability of measurements.

Back

Precision

Front

What is the relationship between accuracy and precision in data?

Back

The best data will be both accurate and precise, but it is not realistic to expect 100% accuracy and precision.

Front

A relationship between variables.

Back

Correlation

Front

A direct cause-and-effect relationship between variables.

Back

Causation

Front

Does correlation imply causation?

Back

No, correlation does not imply causation.

Front

When both variables increase or decrease together.

Back

Positive correlation

Front

When one variable increases, while the other decreases.

Back

Negative correlation