Quantitative data, dependent, variable data, qualitative data, independent variable, constant control, hypothesis, theory, observation experiment

Answer 1

Quantitative data refers to information that can be measured and expressed in numerical form, such as height, weight, or test scores.

Dependent variable data, also known as the response variable, is the outcome or result being measured or observed in an experiment.

Qualitative data, on the other hand, is non-numerical or categorical information that describes qualities or characteristics, such as color or taste.

An independent variable is the variable that is manipulated or controlled by the experimenter in order to observe its effect on the dependent variable.

Constant control refers to keeping all variables other than the independent variable constant or unchanged in an experiment, in order to isolate the effect of the independent variable on the dependent variable.

A hypothesis is a testable explanation or prediction based on observations, previous research, or theoretical reasoning. It is formulated before conducting an experiment and is used to guide the research process.

A theory, in the scientific context, is a well-substantiated explanation that has been repeatedly tested and supported by a large body of evidence. It goes beyond a hypothesis and provides a broader understanding of a phenomenon.

Observation refers to the act of gathering data or information through direct visual or sensory experience. An experiment is a structured and controlled procedure designed to test a hypothesis by manipulating variables and observing their effects.