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The following discussion is a brief introduction to the two types of descriptive statistics that are generally most useful: summaries that calculate the "middle" or "average" of your data; these are called measures of central tendency, and. summaries that indicate the "spread" of the raw measurements around the average, called measures of ...
- Purpose Statement. The purpose statement helps readers understand what you planned to accomplish with your project. Explain the basic reasoning behind the project, why you found the project compelling, and how you think the results of your experiment will be beneficial.
- Hypothesis. The hypothesis is your rough estimation of what you believe would happen in your experiment. The hypothesis must answer a specific question related to your project.
- Materials List. The materials list is relatively straightforward. You will simply need to make a list of everything you used to complete your experiment.
- Procedures. Writing a procedure is necessary so you can perform each section of your experiment consistently. Also, much like the materials list, the procedure section helps another person carry out your experiment if desired.
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Jan 28, 2020 · The first is pretty simple: the concept of a “mean,” which is what most people are talking about when they say “average.” This is simply the sum of a set of values divided by the number of values. So if you have five test scores: 20, 13, 18, 22 and 16, the mean is:
In science, a variable is anything that can change or be different. It can be a thing (like a shirt or a jacket), a characteristic (like rough or smooth), or a situation (like sunny or cloudy). Scientists want to know how things work. They want to understand why things happen and use that information to predict what will happen in the future.
Jan 30, 2020 · This is usually chosen as P = 0.05 (so there would only be a 5% chance that your results would be obtained in a world where the null hypothesis was true), but ultimately this is just a convention. In some circumstances, a significance level of P = 0.10 is perfectly fine, and in others, scientists “raise the bar” a little and set a more ...
After now participating in over a half-dozen elementary school science fairs (including a first-place finish!), we created our own guide to help other students go from start to finish in their next science fair project. If this is your first science fair, have fun! If you’ve done it before, we hope this is your best one!
Designing a fair test of an idea — in formal science or in everyday life — means deciding what results you’ll be comparing, controlling variables, avoiding bias, and figuring out a way to distinguish chance differences from meaningful ones.
