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What Are Type I and Type II Errors in Hypothesis Testing?
In hypothesis testing, Type I and Type II errors are critical concepts. A Type I error occurs when the null hypothesis is rejected even though it is true. This is also known as a false positive and is denoted by alpha (α). A Type II error happens when the null hypothesis is not rejected despite being false, leading to a false negative, represented by beta (β). Both errors impact the reliability of statistical conclusions. Understanding these errors is crucial for accurate research analysis. For expert guidance, avail Hypothesis Testing Assignment Help from BookMyEssay to master statistical methods effectively.