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There are experiments that require low alpha levels like in cases that may lead to death, maim or serious defects occurring. In such experiments, the researcher wants to avoid a situation whereby the null hypothesis is true and rejected. Therefore, if 0.05 chance of being wrong cannot be tolerated then a much lower level of significance like 0.001 can be used. For example performing a clinical study of a new drug on people, it will mean that a researcher does not want to take chances if adverse drug reactions are noted on an individual. A Higher level of alpha like 0.10 is rare in practice because it increases the chance of making type I error. Higher levels may be used when doing an experiment the researcher is at ease of accepting the null hypothesis (Shi, Levinson, & Whittemore, 2008). For example, when a researcher insists that there is no significant difference between intelligence among male and female nursing student in a nursing
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