Experiment vs Observation

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What is an observational study?

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An observational study is a type of research where the researcher observes and records behavior or outcomes without manipulating any variables. It is used to identify correlations or patterns.

Tags

CCSS.RI.11-12.7

CCSS.RI.8.7

CCSS.RI.9-10.7

CCSS.RL.11-12.7

CCSS.RL.9-10.7

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What is an experiment?

Back

An experiment is a research method where the researcher manipulates one or more variables to determine their effect on a dependent variable. It often involves random assignment to control and experimental groups.

Front

What is the main difference between an observational study and an experiment?

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The main difference is that in an observational study, the researcher does not intervene or manipulate variables, while in an experiment, the researcher actively manipulates variables to observe effects.

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What is a sample in research?

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A sample is a small portion of the population selected for study, used to gather data and make inferences about the larger population.

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What is a population in research?

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A population is the entire group of individuals or instances about whom the researcher wants to draw conclusions.

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What does it mean to control variables in an experiment?

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Controlling variables means keeping all variables constant except for the one being tested, to ensure that any observed effects are due to the manipulation of the independent variable.

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What is a dependent variable?

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A dependent variable is the outcome or response that is measured in an experiment, which is affected by changes in the independent variable.

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What is an independent variable?

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An independent variable is the factor that is manipulated or changed in an experiment to observe its effect on the dependent variable.

Tags

CCSS.HSS.IC.B.3

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What is random assignment in experiments?

Back

Random assignment is the process of randomly assigning participants to different groups in an experiment to ensure that each group is similar and to eliminate bias.

Front

What is bias in research?

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Bias refers to any systematic error in the design, conduct, or analysis of research that can lead to incorrect conclusions.