• Categorical data analysis

• The binomial distribution

• Estimating a proportion

• Comparing groups on categorical data

• Chi-square tests

Small sample test, Yates’ correction, Fisher Exact test

• Point Estimation

• Confidence Intervals for Means

• Confidence interval for Difference in Means

• Comparing groups on measurement data

• Independent samples t-test

• Paired sample t-test

In Class midterm exam

• Association between measurement variables

• Correlation and regression

• Simple and Multiple Linear Regression

• Introduction/ review, data types, probability and laws of probability. Random data types

• Conditional probability, marginal probability, check for independence

• Statistical computing with R (time permitting)

• Point Estimation

• Confidence Intervals for Means

• Confidence interval for Difference in Means

• Distributions. Property of Distribution Function

• Some Special distribution

• Moment generating function

• Measures of Quality of Estimators

• Sufficient Statistics

• Completeness and Uniqueness

More on multiple regressions and controlling for confounding. Regression diagnostic

Non-parametric test about population mean, comparing two populations paired test, Sign test, Non-Parametric test for correlation

Review Section (Final Exam preparation)

 Logistic Regression

Final Exam