Which statement is true of α (alpha)? Group of answer choices Stringent levels of α can provide absolute certainty. Alpha increases as our sample size decreases. Conventionally, social researchers set α = .05. If it is set at .01, it's easier to reject the null.
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No significance level guarantees absolute certainty. - Alpha increases as our sample size decreases: False. α is chosen by the researcher; it does not inherently increase with smaller sample sizes. - Conventionally, social researchers set α = .05: True. This is Show more…
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Question 14 Which statement is true of alpha? Conventionally, social researchers set alpha. Alpha increases as our sample size decreases. Stringent levels of alpha can provide absolute certainty. All of the above are true. Question 15 Retaining the null hypothesis assumes which of the following? There is no difference between sample means. There is a difference between two means. Means are significantly different. There is a difference between means.
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Select the true statement below regarding alpha level. The more important it is to avoid the probability of a false positive, the smaller the alpha level should be. Alpha level is algebraically determined using the p-value, critical value, and significance level. If a p-value is larger than an alpha level, the null hypothesis should be rejected. Alpha level determines the chance of common events occurring. Alpha level can become negative if the rate of rare events approaches zero.
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Setting your alpha at .05 means there is a 5% chance you will reject the null hypothesis even though it is actually true. Suppose we are conducting a study where making this type of error could lead to severe consequences. If we wanted to be more conservative and set our alpha at .01 (1% chance) for a one-tailed test then what should our new cutoff score be? 2.33 .01 .496 3.7
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