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Unformatted text preview: Outline Proportions, Averages and Variances Statistical Experiments and Observational Studies The Role of Probability Approaches to Statistical Inference Lecture 3 Chapter 1: Basic Statistical Concepts Michael Akritas Michael Akritas Lecture 3 Chapter 1: Basic Statistical Concepts Outline Proportions, Averages and Variances Statistical Experiments and Observational Studies The Role of Probability Approaches to Statistical Inference Proportions, Averages and Variances The key parameters of a population Proportions: Population and Sample Averages: Population and Sample Variance: Population and Sample Statistical Experiments and Observational Studies Comparative Studies Confounding and Randomization Causation The Role of Probability Approaches to Statistical Inference Michael Akritas Lecture 3 Chapter 1: Basic Statistical Concepts Outline Proportions, Averages and Variances Statistical Experiments and Observational Studies The Role of Probability Approaches to Statistical Inference The key parameters of a population Proportions: Population and Sample Averages: Population and Sample Variance: Population and Sample Investigators are typically interested in learning about certain quantifiable aspects, or parameters as we called them, of the statistical population under investigation. The most common parameters of a univariate statistical population are: Michael Akritas Lecture 3 Chapter 1: Basic Statistical Concepts Outline Proportions, Averages and Variances Statistical Experiments and Observational Studies The Role of Probability Approaches to Statistical Inference The key parameters of a population Proportions: Population and Sample Averages: Population and Sample Variance: Population and Sample Investigators are typically interested in learning about certain quantifiable aspects, or parameters as we called them, of the statistical population under investigation. The most common parameters of a univariate statistical population are: I The proportion. For example, the proportion of Honda Accords that will require warranty repair work in 36,000 miles. Michael Akritas Lecture 3 Chapter 1: Basic Statistical Concepts Outline Proportions, Averages and Variances Statistical Experiments and Observational Studies The Role of Probability Approaches to Statistical Inference The key parameters of a population Proportions: Population and Sample Averages: Population and Sample Variance: Population and Sample Investigators are typically interested in learning about certain quantifiable aspects, or parameters as we called them, of the statistical population under investigation. The most common parameters of a univariate statistical population are: I The proportion. For example, the proportion of Honda Accords that will require warranty repair work in 36,000 miles....
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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 Pennsylvania State University, University Park.
 Spring '00
 Akritas
 Probability, Variance

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