⒈ Animal Testing Summary

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Animal Testing Summary



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The Ethics of Animal use in Research - Courtney Bannerman - TEDxQueensU

Go back and look at the second step in our three examples. Note that in order to summarize the data we used simple sample statistics such as the sample proportion p -hat , sample mean x-bar and the sample standard deviation s. We are not going to go into any details right now, but we will discuss test statistics when we go through the specific tests. As we saw, this is the step where we calculate how likely is it to get data like that observed or more extreme when Ho is true. In a sense, this is the heart of the process, since we draw our conclusions based on this probability.

Obviously, the smaller the p-value, the more surprising it is to get data like ours or more extreme when Ho is true, and therefore, the stronger the evidence the data provide against Ho. Looking at the three p-values of our three examples, we see that the data that we observed in example 2 provide the strongest evidence against the null hypothesis, followed by example 1, while the data in example 3 provides the least evidence against Ho. This cutoff exists, and because it is so important, it has a special name. This means that:. Now that we have a cutoff to use, here are the appropriate conclusions for each of our examples based upon the p-values we were given.

Notice that all of the above conclusions are written in terms of the alternative hypothesis and are given in the context of the situation. In no situation have we claimed the null hypothesis is true. Be very careful of this and other issues discussed in the following comments. Consider the following slightly artificial yet effective example:. You are allowed to use this resource on the AP Biology Exam. See an overview of the manual that supports AP Biology laboratory investigations and learn how to order a copy. This reference guide helps you develop quantitative skills, such as using measurements, gathering and evaluating data, using quantitative evidence to support claims, and connecting empirical information to scientific theory, throughout the course.

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Ibrahim DM Reduce, Animal Testing Summary, replace: the failure of the three R's and the future of Animal Testing Summary experimentation. Share Twitter Pinterest Email. Trends Pharmacol. It is Animal Testing Summary possible to combine Pros And Cons Of Harrison Bergeron approaches to gain more certainty on Animal Testing Summary information weight-of-evidence approach.

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