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The level of significance, often denoted as alpha (α), is the probability of rejecting the null hypothesis when it is true, commonly set at 0.05 or 0.01.
The level of significance, often denoted as alpha (α), is the probability of making a Type I error in hypothesis testing, which occurs when the null hypothesis is incorrectly rejected when it is actually true. It represents the threshold for determining whether the observed results are statistically significant, commonly set at values such as 0.05, 0.01, or 0.10, indicating the maximum acceptable risk of making that error in a given test.
The level of significance, often denoted as alpha (α), is the threshold probability used in hypothesis testing to determine whether to reject the null hypothesis; it represents the probability of making a Type I error, which occurs when the null hypothesis is incorrectly rejected when it is actually true.
how sure a researcher is that the results found are not accidental