lecture1

lecture1 - Statistics 105: Statistics for Engineers Mark...

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Unformatted text preview: Statistics 105: Statistics for Engineers Mark Hansen e: cocteau@stat.ucla.edu t: @cocteau TA: Miles Chen Reader: Ben Greenspan Chapter 6. Random Sampling and Data Description. Chapter 7. Point Estimation of Parameters. Chapter 8. Statistical Intervals for a Single Sample. Chapter 9. Tests of Hypotheses for a Single Sample. Chapter 10. Statistical Inference for Two Samples. Chapter 11. Simple Linear Regression and Correlation. Chapter 12. Multiple Linear Regression. Chapter 13. Design and Analysis of Single-Factor Experiments: The Analysis of Variance. Chapter 14. Design of Experiments with Several Factors. Chapter 15. Nonparametric Statistics. Grading Homework (10 assignments) 50% Final project 40% Participation 10% All work is to be submitted via the CCLE course site by the indicated deadline with no exceptions (this sounds harsh, but things get lost otherwise) You are expected to work on your assignments and your final project alone - We will have more to say about the format of your assignments later, but broadly they will be writing assignments with a code appendix Computing: The R environment This quarter, we will perform all of our analysis in the R environment for statistical computing -- Weve selected it because 1. Access: Its free and runs on any operating system you are likely to have at home 2. Openness: R is open source; there is a large community actively contributing to the codebase, and most practicing statisticians share their analyses through R programs 3. Expressiveness: Far from a point-and-...
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This note was uploaded on 02/20/2012 for the course STAT 105 taught by Professor Hansen during the Winter '12 term at UCLA.

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lecture1 - Statistics 105: Statistics for Engineers Mark...

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