n_0530 - Type I and Type II Errors Reality Ho True Ho False...

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Chapter 6 Section 6.4 1 H o True H o False Reject H o Type I Error P(Type I Error) = α Correct Decision Fail to Reject H o Correct Decision Type II Error P(Type II Error) = β Type I and Type II Errors Reality Decision Based on Sample Results
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Chapter 6 Section 6.4 2 Type I error P(Type I error) = α This is the defined probability of rejecting the test before we take a sample. We are taking a α chance of rejecting H o when it is true. The significance level α of any fixed level test is the probability of a Type I error. That is, α is the probability that the test will reject the null hypothesis H o when it is true.
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Chapter 6 Section 6.4 3
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Chapter 6 Section 6.4 4 Summary • Type I error = P(reject H o |H o is true) • Type II error = P(fail to reject H o |H o is false) • Power = P(reject H o |H o is false) The higher the power is, the more sensitive the test is, so high power is desirable.
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Chapter 6 Section 6.4 5 Chapter 7 Has different distributions where the the dist. Are abnormal
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Chapter 7 Section 7.1
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n_0530 - Type I and Type II Errors Reality Ho True Ho False...

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