Overview of STAT 270 Ch 1-9 of Devore + Various Applications

Ch 1 Overview and Descriptive Statistics –Design (Data Collection) –Descriptive Statistics –Inference Descriptive Statistics –Graphical –Numerical

Ch 2 Probability –Random selection or allocation –Models for variability

Ch 3 Discrete Probability Distributions –Models –Relationships between models –Applying Models

Ch 4 Continuous Probability Distributions –Models –Normality (& why it is ubiquitous) –Calculus of Probability

Ch 5 Joint Probability Distributions –Conditioning –Independence –Relationships between variables

Ch 6 Point Estimation (of parameters) –What it is –Why it is not enough Mean estimate

Ch 7 Interval Estimation –What it is and what it is not –Confidence Mean Interval Estimates of the mean

Ch 8 Hypothesis Testing –When is an apparent result reproducible?

Ch 9 Two sample hypothesis tests

More topics Simulation - modern inference Time series - most common data set Nonparametric smoothing - easy and useful Analysis of variance - historical Regression analysis - easy & useful Quality control - management by exception and reduction of variability