Course Syllabus
Statistics 220E - Winter 1998
Basic Probability and Statistics
(WW ch 1-5) [weeks 1-4]
- Random sampling and randomization (WW1)
- Descriptive statistics - one variable (WW2): frequencies, center
and spread of a distribution
- Descriptive statistics - two variables: plots, correlation
- Introduction to Probability (WW3): events; independence; Bayes'
theorem
- Discrete and continuous random variables (WW4-5):
- the Binomial and the Normal distributions
- expected value, variance and covariance, linear
transformations
- joint, marginal and conditional distribution
Inference for Means and Proportions
(WW ch 6-10) [weeks 4-7]
- Sampling distribution - Central Limit Theorem (WW6)
- Point estimation (WW7): bias, efficiency, consistency
- Confidence Intervals (WW8): CI for means and proportions; one
sample and two samples
- Hypothesis testing (WW9)
Regression
(WW ch 11-14) [weeks 7-9]
- Simple regression (WW11-12): least squares estimates,
interpretation, CI and prediction intervals; residuals,
data analysis using regression
- Multiple regression (WW13-14)
Additional topics
(depending on time and preference of
instructor) [week 10]