class09-2-handouts

class09-2-handouts - PSTAT 120B Probability& Statistics...

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Unformatted text preview: PSTAT 120B - Probability & Statistics Class # 09-2- Hypothesis tests for variances Jarad Niemi University of California, Santa Barbara 26 May 2010 Jarad Niemi (UCSB) Hypothesis tests for variances 26 May 2010 1 / 16 Class overview Announcements Announcements Grades have been updated Exam I - curve +16 (includes #14) Exam II - curve +10, #6 +1 Homework Homework 6 returned today power ∈ [0 , 1] limits of one-sided confidence intervals depend on the parameter, e.g. p ∈ [0 , 1] and σ 2 ∈ (0 , ∞ ) Standardizing ˆ θ- E [ ˆ θ ] σ ˆ θ = ⇒ x- μ σ/ √ n Write complete sentences. No. Yes. Homework 7 is assigned and will be due 2 June @ 10am in class Jarad Niemi (UCSB) Hypothesis tests for variances 26 May 2010 2 / 16 Class overview Goals Real world statistics P-value applet Hypotheses concerning variances Jarad Niemi (UCSB) Hypothesis tests for variances 26 May 2010 3 / 16 Nielson ratings Nielsen television ratings are gathered in one of two ways: 1. Viewer ”diaries”, in which a target audience self-records its viewing or listening habits. By targeting various demographics, the assembled statistical models provide a rendering of the audiences of any given show, network, and programming hour. 2. A more technologically sophisticated system uses Set Meters, which are small devices connected to televisions in selected homes. These devices gather the viewing habits of the home and transmit the information nightly to Nielsen through a ”Home Unit” connected to a phone line. The technology-based home unit system is meant to allow market researchers to study television viewing habits on a minute to minute basis, seeing the exact moment viewers change channels or turn off their TV. In 2005, Nielsen began measuring the usage of digital video recordings such as TiVo. Initial results indicate that time-shifted viewing will have a significant impact on television ratings. The networks have not yet figured these new results into their ad rates at the resistance of advertisers....
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This note was uploaded on 01/10/2011 for the course STAT 120B taught by Professor Bennett during the Fall '09 term at UCSB.

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class09-2-handouts - PSTAT 120B Probability& Statistics...

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