Experimental Design

Experimental Design

Assessment

Flashcard

Science

9th Grade

Hard

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15 questions

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1.

FLASHCARD QUESTION

Front

What is a hypothesis?

Back

A hypothesis is a testable statement that predicts the relationship between variables, often formatted as 'If [independent variable], then [dependent variable] because [reason].' For example, 'If I add more water, then the plant will grow taller because they need water to function.'

2.

FLASHCARD QUESTION

Front

What is an independent variable?

Back

An independent variable is the factor that is changed or controlled in an experiment to test its effects on the dependent variable. For example, in an experiment testing how ice cubes float in water, the temperature of the water is the independent variable.

3.

FLASHCARD QUESTION

Front

What is a dependent variable?

Back

A dependent variable is the factor that is measured or observed in an experiment. It is affected by changes in the independent variable. For example, in the ice cube experiment, the height of the ice cube is the dependent variable.

4.

FLASHCARD QUESTION

Front

What is a control group?

Back

A control group is a standard of comparison in an experiment. It does not receive the experimental treatment and is used to measure how the other tested subjects do. For example, in a cleaning experiment, the control group might be the tables cleaned with tap water.

5.

FLASHCARD QUESTION

Front

What is an experimental group?

Back

An experimental group is the group in an experiment that receives the treatment or condition being tested. It is compared to the control group to determine the effect of the treatment.

6.

FLASHCARD QUESTION

Front

What is the purpose of a variable in an experiment?

Back

Variables are elements that can change in an experiment. They are essential for testing hypotheses and understanding relationships between different factors.

7.

FLASHCARD QUESTION

Front

What is the difference between qualitative and quantitative data?

Back

Qualitative data describes characteristics or qualities (e.g., color, texture), while quantitative data involves numerical measurements (e.g., height, weight).

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