BTRY 200

Required Textbook:

Statistics, Freedman, Pisani, and Purves

 Syllabus:

I. Introduction                                                 

II. Experiments                                                 
         A. Types of experiments
                1. Controlled
                2. Observational
        B. Principles of experimental design
                1. Philosophy of science and experimentation
                2. Tools for good experimental design
                        a) Randomization
                        b) Replication
                        c) Blocking

III.   Data Collection and Summary                                      
        A. Measurement
                1. Ways to measure
                2. Errors in measurement
                        a) Bias
                        b) Variability
        B. Descriptive Statistics
                1. Tables
                2. Histograms and stem-and-leaf diagrams
                3. Measures of central tendency
                4. Measures of spread
                5. Normal distributions
                6. Scatterplots
                7. Correlation
                8. Regression
                9. Statistical computing for description

IV.   Probability                                                       
        A. Basics
        B. Law of averages
        C. Expected value and standard error
        D. Normal approximations

V.   Sampling                                                   
        A. Sample surveys
        B. Variability of samples

VI.   Statistical Inference                                             
        A. Chance models
        B. Confidence intervals
        C. Tests of significance
        D. Statistical computing for inference
        E. A closer look at statistical significance

NOTE: check the web page for deadlines and other course information.