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A conclusion sums up what has been found out during an investigation. A conclusion should be clearly structured and explained using scientific knowledge. At the end of an investigation,...
- Anomaly: An anomaly is an observation that differs from expectation or from accepted scientific views. Anomalies lead scientists to revise a hypothesis or theory.
- Central Limit Theorem: The central limit theorem states that with a sufficiently large sample, the sample mean will be normally distributed. A normally distributed sample mean is necessary to apply the t test, so if you are planning to perform a statistical analysis of experimental data, it’s important to have a big sample.
- Conclusion: The conclusion is your determination of whether the hypothesis should be accepted or rejected. It is one of the steps of the scientific method.
- Control Group: The control group is the set of test subjects randomly assigned to not receive the experimental treatment. In other words, the independent variable is held constant for this group.
- Anne Marie Helmenstine, Ph.D.
- Central Limit Theorem: States that with a large enough sample, the sample mean will be normally distributed. A normally distributed sample mean is necessary to apply the t-test, so if you are planning to perform a statistical analysis of experimental data, it's important to have a sufficiently large sample.
- Conclusion: Determination of whether the hypothesis should be accepted or rejected.
- Control Group: Test subjects randomly assigned to not receive the experimental treatment.
- Control Variable: Any variable that does not change during an experiment. Also known as a constant variable.
Revise and understand how to plan out an experiment then collect and analyse the data. Plus look at variables and scientific equipment.
Learn how to draw conclusions and evaluate investigations when working scientifically with this Bitesize Science guide.
May 6, 2020 · The independent and dependent variables are key to any scientific experiment, but how do you tell them apart? Here are the definitions of independent and dependent variables, examples of each type, and tips for telling them apart and graphing them.
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Validity refers to how well an experiment investigates the aim or tests the underlying hypothesis. While validity is not represented in this target analogy, the validity of an experiment can sometimes be assessed by using the accuracy of results as a proxy.
