lecture_11_f01 - Statistics 400 - Lecture 11 Today: Finish...

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Statistics 400 - Lecture 11
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Today: Finish 8.4; begin Chapter 9 Assignment #4: 8.54, 8.103, 8.104, 9.20, 9.30 Not to be handed in Next week…Case Studies and Review No Lab Friday and Next Tuesday
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Example A company wishes to monitor customer service A senior manager claim that the average waiting time is 3 minutes The waiting times of 75 randomly selected calls to a customer service hot- line were recorded The calls had a sample mean of 3.4 minutes and sample standard deviation  of 2.4 minutes Test this claim with a significance level of 0.05
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Types of Errors What is the probability of rejecting  H 0   when it is indeed true? If  H 0    is true, how often do we make the right decision? Have only considered probability of rejecting when  H 0    is true Suppose  H 0    is not true.  Ideally, what happens?
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Have 2 types of error: Type I error: Reject  H 0    when  H 0    is true Type II error: Fail to Reject  H 0    when  H 0    is false The probability of a type I error is: Probability of type II error is: Power of a Test is:
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Small Sample Inference for Normal Populations Do not always have large samples
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This note was uploaded on 02/06/2012 for the course STAT 400 taught by Professor Derekbingham during the Fall '01 term at University of Michigan-Dearborn.

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lecture_11_f01 - Statistics 400 - Lecture 11 Today: Finish...

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