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In the example of a birth month showing a statistical difference in regards to birth month and probability of developing schizophrenia, there is an issue with the sample size that can cause a study to show a statistical difference when the actual difference is minute. When designing an experiment to test a hypothesis, it is important to find the optimal sample size in order to avoid errors in conclusions made. Examples of errors are a type-1 error being a false positive and a type-ll error being a false negative. When the sample size is large in proportion to the population, there is a higher likelihood of finding a statistical difference (P