 Understand and be able to correctly use basic statistical terminology.
 Recognize and evaluate variation in data using basic parameter estimation and hypothesis
testing.
 Compare data sets using parameter estimation, hypothesis testing and analysis of variance.
 Recognize and evaluate relationships between two variables using simple linear regression.
 Apply basic 2^{K} design of experiments in order to study and improve engineering processes.
 Understand and be able to apply simple principles of probability, parameter estimation,
hypothesis testing, analysis of variance, simple linear regression, and design of
experiments to engineering applications.
Current Textbook: Statistical Methods for Engineers (Latest Edition), by Geoffrey Vining and Scott M. Kowalski, Thomson, Brooks/Cole.
Topics Covered 
Chapters

Time 
Basic Probability – counting, basic laws and elementary theorems; independent events. 
3.1

1 week 
Discrete Random Variables and Distributions – binomial, hypergeometric, Poisson, mean
and variance, Poisson Process.

3.2

2 weeks 
Continuous Random Variables and Distributions – uniform, exponential, normal, and
probability plots.

3.33.4

2 weeks 
Random Sampling and Sampling Distributions – central limit theorem and t distribution,
chisquare, and F distributions.

3.63.7

1 week 
Inference for Proportions – confidence intervals, hypothesis testing, and sample size. 
4.1, 4.2, 4.4

2 weeks 
Inference for a Single Mean – confidence intervals, hypothesis testing, and sample
size.

4.3

1 week 
Inference for Variances – confidence intervals, hypothesis testing, one and two populations. 
4.7

1 week 
Inference for Two Populations – confidence intervals, hypothesis testing, independent
and dependent samples.

4.54.6

1 week 
Analysis of Variance. 

1 week 
Simple Linear Regression (as time permits) – curve fitting, inferences about estimated
parameters, adequacy of models, linear correlation.

6.16.2

1 week 
Design of Experiments – 2^{K} factorial designs and half fractions.

7.17.3

1 week 
The above textbook and course outline should correspond to the most recent offering
of the course by the Statistics Department. Please check the current course homepage
or with the instructor for the course regulations, expectations, and operating procedures.
Contact Faculty: Dewei Wang
