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Which is an example of the Bonferroni correction?
For example, if we perform three statistical tests at once and wish to use α = .05 for each test, the Bonferroni Correction tell us that we should use αnew = .01667. Thus, we should only reject the null hypothesis of each individual test if the p-value of the test is less than .01667.
How does Bonferroni adjustment for multiple testing work?
Perhaps the simplest and most widely used method of multiple testing correction is the Bonferroni adjustment. If a significance threshold of α is used, but n separate tests are performed, then the Bonferroni adjustment deems a score significant only if the corresponding P -value is ≤α/ n.
How does multiple testing correction work in statistics?
We therefore need a ‘multiple testing correction’ procedure to adjust our statistical confidence measures based on the number of tests performed. Perhaps the simplest and most widely used method of multiple testing correction is the Bonferroni adjustment.
How is the p-value of a score determined?
In practice, determining whether an observed score is statistically significant requires comparing the corresponding statistical confidence measure (the P -value) to a confidence threshold α. For historical reasons, many studies use thresholds of α = 0.01 or α = 0.05, though there is nothing magical about these values.
How are three study techniques lead to different Exam scores?
Suppose a professor wants to know whether or not three different studying techniques lead to different exam scores among students. To test this, she randomly assigns 30 students to use each studying technique. After one week of using their assigned study technique, each student takes the same exam.
Which is better technique 2 or technique 3?
Since the p-value for Technique 2 vs. Technique 3 is the only p-value less than .01667, she concludes that there is only a statistically significant difference between technique 2 and technique 3.