PSYB07H3 Chapter Notes - Chapter 1-6: Effect Size, Type I And Type Ii Errors, Statistical Power
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Notes: type i error, the lower the alpha, the smaller chance of a type i error, such as p < 0. 001. The result of a study has to be very extreme for the hypothesis-testing process to reject the null hypothesis. This is possible because significance is based on the difference between the mean of your sample and the known population mean divided by the standard deviation of the distribution of means. Thus, even a small difference between the means when divided by a very small denominator can give a large overall result, making the study significant. If in fact there is a big mean difference in the population, you have more chance of getting a significant result in the study. While more extreme means less power because the shaded rejection region on the lower curve is smaller: one tail test .
