Attachment # 00008645 - Statistics_Week_6_Class_Discussions.docx
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(refer to the detailed question and attachment below)
As discussed in the assigned readings on Type I and Type II errors, when you are testing a hypothesis, there is the possibility your conclusion is incorrect. You could reject your null hypothesis when it's actually true (Type I error), or you could not reject the null hypothesis when the alternative is true (Type II error). You can think of this in terms of a trial. If the jury puts an innocent man in jail, this is a Type I error. If the jury lets a guilty person go free, this is a Type II error.In this week's class discussion, post on the following question: Someone tells you something and you need to decide if you should believe him or her. Are you more likely to be worried about committing a Type I error or a Type II error?
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  1. Dr tonyx
    Tutorial # 00161338 Posted By: Dr tonyx Posted on: 01/05/2016 11:52 AM
    Puchased By: 3
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    The solution of week 6 response...
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