STAT 587 (Engineering) Statistical Methods for Research Workers

This website is designed to host course material for STAT 587 (Engineering) - Statistical Methods for Research Workers at Iowa State University.

Relevant course pages

• Labs
• Slides/Videos
  • Probability playlist
  • Inference playlist
  • Regression playlist
• Previous exams
• Next courses

Textbook

There is no required textbook for this course. Here are some free resources that can be used:

• OpenIntro Statistics
• Online Statistics Education
• R for Data Science
• Data Camp
• Introduction to R for Data Science
• Introduction to Linear Regression Analysis (5) by Montgomery, Peck, and Vining
• Steve Vardeman’s Notes

Other resources:

• Coursera Data Science Specialization
• The Statistical Sleuth
• Data Collection and Analysis
• Data Analysis for Scientists and Engineers
• An Introduction to Statistical Learning

Software

We will be using the Statistical Software R. I will be using RStudio as the interface to R. Although both will be available on lab computers, I suggest you install R and RStudio on your own laptop or desktop (or both).

Install links:

• R
• RStudio

Course Description

Methods of analyzing and interpreting experimental and survey data. Statistical concepts and models; estimation; hypothesis tests with continuous and discrete data; simple and multiple linear regression and correlation; introduction to analysis of variance and blocking.

Course Objectives

• Understand the difference between a population and a sample.
• Learn to use statistical methods, e.g. t-tests, rank sum tests, ANOVA, regression, etc., to analyze experimental and observational data.
• Perform, check assumptions, and interpret multiple linear regression.
• Write, interpret, and critically evaluate statements such as
  • No significant differences were observed between A/H5N1_HA N182K- and A/H5N1_HA Q222L,G2245-inoculated animals, as calculated by comparing the viral titer (Mann-Whitney test, P=0.589 and 0.818 for nose and throat titers, respectively).
  • … estimate gross carbon emissions across tropical regions between 2000 and 2005 as 0.81 petagram of carbon per year, with a 90% prediction interval of 0.57 to 1.22 petagrams of carbon per year.

Prerequisite

The prerequisite for the course is previous enrollment in one of the following statistics (STAT) courses: 101, 104, 105, 201, or 226.

Q&A

Please use the Canvas discussion forum.

Schedule

Week	Topic	OpenIntro
1	Probability	Ch 3
2	Random variables	Ch 4
3
4	Modeling
5	Inference
6		Ch 5
7		Ch 6
8		Ch 7
9	midterm
10	Simple linear regression	Ch 8
11	Multiple regression	Ch 9
12	ANOVA
13	Contrasts
14	Model selection
	final exam

Center for Excellence in Learning and Teaching Recommendations

This course abides by the Center for Excellence in Learning and Teaching Recommendations.