## Q601 : Experimental Analysis And Design

### Class Description

This is a basic course in designing experiments, analyzing the resulting data and interpreting the results. It deals with the types of experiments that are frequently conducted. The prerequisite background is a basic working knowledge of statistical methods. You will need to know how to compute and interpret the sample mean and standard deviation, have previous exposure to the normal distribution, be familiar with the concepts of testing hypotheses, constructing and interpreting a confidence interval, and model-fitting using the method of least squares.

### Class Information

**School/Department: **Public Health

**Semester(s): **Spring

**Year(s) Offered: **_2018

**Class time: **
Monday, Wednesday : 11:15AM - 12:05PM

**Lab time: **
Friday
: 11:15AM - 12:05PM

**Capacity: ** 30

### Contact Information

**Instructor: **David King

**Other Contact(s): ** David King - dbking@indiana.edu

### Other Details

**Sequence: ** After taking Q501 (Intermediate Statistics in Public Health), before taking Q602 (Multivariate Statistical Analysis)

**Prerequisites: ** Q501 (Intermediate Statistics in Public Health)

**Algebra Required?: ** Notation only.

**Calculus Required?: ** Concepts.

**Day(s) per week offered: ** Two lectures a week; and one computer lab

**Recommended follow-up classes: ** Q602, Q603, Q611, Q612

**Statistical Orientation: ** Experimental

**Books used: ** Required
Design and Analysis of Experiments, 8th Ed., 2012, by Douglas C. Montgomery. John Wiley & Sons, ISBN 978-1-118-14692-7.

**Applied/Theoretical: ** applied with explanations (not derivations) of statistical foundations.

**Software Used: **
MiniTab

**How the software is used: ** data analysis

**Problem Sets: ** Yes, with most involving analysis and interpretation of data

**Data Analysis: ** Yes as part of problem sets

**Presentations: ** Yes

**Exams: ** Yes

**Comments: ** Open to graduate only.