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Why are publicity and word-of-mouth more credible than information in paid communication sources?
Statistical Power
Statistical power refers to the probability that a statistical test will correctly reject a false null hypothesis, effectively detecting an effect when there is one.
Detecting An Effect
The process of identifying whether a particular treatment, condition, or variable has a statistically significant impact in an experiment or study.
Type I Error
The error made in statistical hypothesis testing when a true null hypothesis is incorrectly rejected, commonly referred to as a "false positive."
Type I Error
Type I error, often denoted as α, occurs when a true null hypothesis is incorrectly rejected, indicating a false positive finding in hypothesis testing.
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