# b.lect3 - Outline Proportions Averages and Variances...

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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

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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

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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: 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: The proportion. For example, the proportion of Honda Accords that will require warranty repair work in 36,000 miles.

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