#### Statistics 1

This course is a survey of the major ideas of inference,
experimental design and statistical methods. The course may be
viewed as consisting of three closely connected parts. In the
first section, students are introduced to the basics of the
statistical packages Minitab / R and their use in descriptive
statistics. Emphasis is placed on the use of real data and both
summary statistical measures and graphical descriptive devices
for continuous and discrete data are discussed.

In the second section, we discuss the frequentist theory of
inference, including point estimation, confidence intervals and
hypothesis testing. Section three is devoted to various
statistical methods. The major ones are regression models and the
use of ANOVA in designed experiments. Several of the important
basic designs are discussed. We also discuss methods for the
analysis of discrete data, such as in contingency tables, and
non-parametric procedures.