The probabilities of Type I and Type II errors always add up to 1.0.
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Q20: The null hypothesis is a specific claim
Q21: The alternative hypothesis is usually the hypothesis
Q22: The null distribution is always centered around
Q23: The y-axis for a null distribution is
Q24: The most commonly used significance level in
Q26: As studies increase in sample size, they
Q27: Nonsignificant tests are uninformative.
Q28: Generally speaking, if we fail to reject
Q29: It is recommended practice to look at
Q30: If a one-sided test rejects the null
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