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(a) Define Type I and Type II errors. (b) If an experimenter determines that that the probability associated with the calculated value of a test
(a) Define Type I and Type II errors.
(b) If an experimenter determines that that the probability associated with the calculated value of a test statistic (could be G, 2, Dmax, F, t, H.....whatever, most of which we haven't learned about yet) is 0.52, what is the probability of making a making a Type I error? Would you reject or fail to reject the null hypothesis in this case?
Use these steps to answer
1) Ho and Ha
2. Use the chi squared test
3. X^2 calculation
4. what is the probability
5. Do we reject or fail to reject and why
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