The probability of making a Type I error when the null hypothesis is true as an equality is called the level of significance Group of answer choicesFalseTrue
Question
The probability of making a Type I error when the null hypothesis is true as an equality is called the level of significance Group of answer choicesFalseTrue
Solution 1
True. The probability of making a Type I error when the null hypothesis is true as an equality is indeed called the level of significance. This is often denoted by the Greek letter alpha (α) in statistics. A Type I error occurs when we reject the null hypothesis when it is actually true. The level of significance is the threshold at which we decide to reject the null hypothesis.
Solution 2
True. The probability of making a Type I error when the null hypothesis is true as an equality is indeed called the level of significance. This is often denoted by the Greek letter alpha (α) and is typically set at 0.05 (or 5%) in many fields of study. This means that if the null hypothesis is true, we would expect to incorrectly reject it in favor of the alternative hypothesis about 5% of the time.
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