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April 22, 2009
It is E370 Time!!!
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Announcements
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WarmUps Questions
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Today’s Goals: You should be able to
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correctly define Type I and Type II error for a given situation.
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compare the notation for a regression model and an estimated equation.
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compare the sum of squared error to the sum of squared deviations.
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analyze the relationship between sum of squared error and sum of
squared deviations.
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analyze the statistics which are used to calculate parameter estimates.
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Next Time~~Goodness of Fit
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Announcements
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A class mate found an error in the answer key to the practice problems in
Chapter 7 of the lab manual.
On page 78, #3, the Excel command is
correct, however the resulting value should be 0.9518.
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Information about this week’s lab exam has been posted.
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From last week, report your example of hypothesis testing you do everyday.
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Write down the hypotheses
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a statement of Type I error and
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a statement of a Type II error.
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 Winter '09
 STAFF
 Economics, Regression Analysis, Errors and residuals in statistics, type ii error, Squared deviations, Minimum Maximum Airfares

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