b.lect1

# b.lect1 - Outline Why Statistics Populations and Samples...

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Unformatted text preview: Outline Why Statistics? Populations and Samples Statistical Inference Lecture 1 Chapter 1: Basic Statistical Concepts Michael Akritas Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Why Statistics? Examples of engineering case studies Intrinsic variability Populations and Samples Populations, units and characteristics Samples and Census Statistical Inference Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability I Estimating the coefficient of thermal expansion of a metal. Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability I Estimating the coefficient of thermal expansion of a metal. I Comparing the hardness of two or more cement mixtures. Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability I Estimating the coefficient of thermal expansion of a metal. I Comparing the hardness of two or more cement mixtures. I Comparing the effectiveness of three cleaning products in removing four different types of stains. Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability I Estimating the coefficient of thermal expansion of a metal. I Comparing the hardness of two or more cement mixtures. I Comparing the effectiveness of three cleaning products in removing four different types of stains. I Predicting failure time on the basis of stress applied. Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics? Populations and Samples Statistical Inference Examples of engineering case studies Intrinsic variability I Estimating the coefficient of thermal expansion of a metal. I Comparing the hardness of two or more cement mixtures. I Comparing the effectiveness of three cleaning products in removing four different types of stains. I Predicting failure time on the basis of stress applied. I Assessing the effectiveness of a new traffic regulatory measure in reducing the weekly rate of accidents. Michael Akritas Lecture 1 Chapter 1: Basic Statistical Concepts Outline Why Statistics?...
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## This note was uploaded on 03/19/2009 for the course STAT 401 taught by Professor Akritas during the Spring '00 term at Penn State.

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b.lect1 - Outline Why Statistics Populations and Samples...

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