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Unformatted text preview: Stat231 William Marshall Stat231 William Marshall June 17, 2010 Stat231 William Marshall Week 7 Goals: More Confidence intervals Prediction Intervals More Confidence intervals (CLT based) Stat231 William Marshall Review Data: y 1 , y 2 ,..., yn Model: Y i = + R i , R i G (0 , ), Rs independent Estimators = Y = i ( Y i ) 2 n 1 Sampling distributions  G (0 , 1) , ( n 1) 2 2 2 n 1 Pivotal quantity  / n t n 1 Random Interval P ( c t n 1 c ) = 0 . 95 P (  c / n + c / n ) = 0 . 95 95% Confidence Interval (  c / n , + c / n ) Stat231 William Marshall Example 12 In a marketing study, a company wants to study the effect of changing advertising $ spent on local television on immediate sales of their product. The marketing department company selects 5 levels of advertising (thousands of $ per week). They then decide to apply each level of spending to 5 communities across the country and measure the total sales ($1000) in the following week within each community. Stat231...
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This note was uploaded on 11/21/2011 for the course MATH STAT 231 taught by Professor Marsh during the Spring '10 term at Waterloo.
 Spring '10
 Marsh

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