• Type I error: The manager convincing evidence that 2% of the shirts are defective, when the true proportion really is 2%. • Consequence: The manager will: and and therefore .
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• Type II error: The manager convincing evidence that 2% of the shirts are defective, when the true proportion really is more than 2%. • Consequence: The manager will: when the machines .
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Malcolm wants to test H0: p = 0.674 Ha: p < 0.674 where p = the true proportion of all adults who go to the dentist regularly using the α = 0.05 significance level. Because the P-value α = 0.05, he should H0. Malcolm convincing evidence that the true proportion of all adults who go to the dentist regularly is 0.674.
Jeremy wants to test H0: p = 0.75 Ha: p < 0.75 where p = the true proportion of all flips of this penny that land heads up using the α = 0.01 significance level. Because the P-value α = 0.01, he should H0. Jeremy convincing evidence that the true proportion of all flips of this penny that land heads up is 0.75.
less thanapproximatelyexactly✔ more than
less thanapproximatelyexactly✔ more than
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reject✔ fail to reject
stop production✔ continue production
finds✔ does not find
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