Designing A Vision Experiment Essay

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Carrot Experiment The scientific method was standardized by Francis Bacon nearly 300 years ago and provided a model for those seeking answers to questions with a means to explore. The scientific method is inductive reasoning. Inductive reasoning examines things from a small to large perspective, where deductive reasoning makes conclusions based on large assumptions and applying them to the smallest common denominator.

The purpose of this essay is to design an experiment that will test if eating carrots will improve eyesight. To ensure that a scientific experiment is correct it must inductive reasoning to allow for the facts to be demonstrated through an experience. There are several key components to any experiment and each one plays an important role in coming to valid and reliable conclusions that answer the research question posed to initiate the experiment.

In this experiment the independent variable is the carrot. This experiment must create a system where a dependent variable, which would be a group of people who are trying to improve the eyesight. To begin the experiment the person being evaluated will have an eye exam to provide the control data. This is the starting point and represents the level of vision that...

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The experiment should last a considerable time to evaluate the impact of carrots. Maintaining a constant diet otherwise represents a challenge for this experiment as the levels of nutrients from other foods may or may not have an effect on vision. This makes it important that enough carrots are provided for the experiment that can denote a significant increase in the vegetable.
As the experiment is conducted, data and analysis will be taking place simultaneously. The recorded data can be modified with statistical devices to infer what has taken place. This part of the experiment is crucial and it is important that a valid and useful research question or research questions are posed in order to infer the right statistic and use the appropriate statistical or probability model. Graphs, charts, and tables are useful in tracking, and presenting this data in a manner that can be understood in a clear and concise manner.

Once the data has been analyzed it is important to discuss the…

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References

Walter, E., & Pronzato, L. (1990). Qualitative and quantitative experiment design for phenomenological models -- a survey. Automatica, 26(2), 195-213.


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