What is a Type I error

What is a Type I - What is a Type I error Explain how the cumulative Type I error affects your decision making How are the two independent sample

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What is a Type I error? Explain how the cumulative Type I error affects your decision making . How are the two independent sample t-tests different from ANOVA? Type I error (the false positive ) is the error of rejecting the null hypothesis when it is actually true (For example, as in a student accused of copying in an examination when she really did not) Cumulative Type I Error is a Type I error whose magnitude does not approach zero as the number of observations increases. For alpha = 0.01, the accumulative error = 1 - 0.99^n (when the same outcome is evaluated n times). The Cumulative Type I error increases as n increases. With high cumulative Type I error, the null hypotheses may, in the long run, be rejected more frequently. ANOVA and two-sample t- test are similar in the sense that they are both meant to perform the same task - to test if two (or more) samples come from the same population or from different populations. That is, both the tests are employed to check if at least one
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This note was uploaded on 01/05/2012 for the course 101 melissa jo taught by Professor Acc101 during the Spring '11 term at Aarhus Universitet.

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What is a Type I - What is a Type I error Explain how the cumulative Type I error affects your decision making How are the two independent sample

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