When applying either the critical value rule or the p-value rule about a single mean, other relevant factors held constant, increasing the level of significance, α, from .05 to .10 will reduce the probability of a Type I error.
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Q15: The null hypothesis is a statement that
Q16: The level of significance, α, indicates the
Q17: Everything else being constant, increasing the sample
Q18: When the null hypothesis is true, there
Q19: When applying either the critical value rule
Q21: It can be established at α =
Q22: We test H0: μ ≤ 3.0; versus
Q23: We are testing H0: μ = 32;
Q24: When we test H0: p = .2;
Q25: The exact shape of the chi-square distribution
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