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Hypothesis testing

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Research the meaning of null hypothesis. Describe how and why it is used in experimental design. Properly cite your reference. In statistical inference of observed data of a scientific experiment, the null hypothesis refers to a general or default position: that there is no relationship between two measured phenomena,[1] or that a potential medical treatment has no effect.[2] Rejecting or disproving the null hypothesis ? and thus concluding that there are grounds for believing that there is a relationship between two phenomena or that a potential treatment has a measurable effect ? is a central task in the modern practice of science, and gives a precise sense in which a claim is capable of being proven false.

Lumbriculous-Black Worm Lab

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What Makes a Worm?s Heart Race? Part 1 - Learning Name: Hour: Date: Purpose: To explore the impact of treatments on the pulse rate of the worm Lumbriculus variegatus while refreshing and refining your understanding of experimental design with a focus on recognizing and minimizing experimental bias. Objectives: Upon completion of this activity, you should be able to: Count pulse rate in blackworms (Lumbriculus variegatus). Demonstrate the ability to design and perform an experiment using the strong inference model and multiple hypotheses with attention to the minimization of experimental bias. Demonstrate an understanding of graphing and the use of simple statistical data analysis to evaluate the impact of an experimental treatment.

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