
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
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