STA 220: Practice in Statistics I

An introductory course in statistical concepts and methods, emphasizing exploratory data analysis for univariate and bivariate data, sampling and experimental designs, basic probability models, estimation and tests of hypothesis in one-sample and comparative two-sample studies. A statistical computing package is used but no prior computing experience is assumed.

Course goals

• learn some of the basic concepts of statistics

• develop a toolbox for analyzing, and displaying data

• learn a bit of coding!

Course topics

• data summary - one variable and relationships between variables

• probability - events, random variables, and distribution

• confidence intervals - calculation and interpretation

• hypothesis testing - type I and II errors, p-value, relation to confidence intervals

• simple linear regression - interpretation and inference, coefficient of determination

We will use R programming language for computations. RStudio is a user-friendly environment for developing, running, and documenting R code.

Course content

Distribution tables:     normal     Student's t     binomial     chi-square