Скачать или смотреть What Factors Increase The Risk Of A Type II Error?

Have you ever wondered why some studies might fail to detect a real effect? This video dives deep into the critical factors that can significantly increase the risk of committing a Type II error in research.

Discover the key elements influencing the likelihood of a Type II error:
► Understanding how a small sample size directly diminishes statistical power, making real effects harder to spot.
► Exploring the inverse relationship between the true effect size and the probability of a Type II error.
► Identifying how a very conservative significance level (alpha) can inadvertently increase the chance of missing a true effect.
► Recognizing the impact of high variability and measurement error on the ability to detect genuine differences.


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