Professor Karen
H. Smith
Office Boyd
313
M, W 10 – 12:00 p.m.
Office Hours
Tu,Th 10 – 12:30 p..m.
Course Description : This course involves the extensive
use of the statistical software Minitab. Familiar topics of statistics, such as
graphing, hypothesis testing, confidence intervals, regression, and analysis of
variance are studied using Minitab. This allows for in-depth analysis and
assessment of typical statistical results used in industry and academic
research.
Students will classify different data types and use
appropriate graphical techniques, and statistical tests for the different data
types. (L5, L7, L9, L11)
Students will demonstrate the ability to use the software
Minitab in graphing, selecting samples, conducting statistical hypothesis
tests, and forming confidence intervals . (L12)
Students will interpret the results of statistical tests
involving one sample data and those of two-sample data. (L5, L7, L9, L11)
Students will be able to develop regression models. (L11, L12)
Students will conduct analysis of variance tests. (L11, L12)
Topics
Data types
Data description: graphical and numerical
Discrete distributions: Binomial and Poisson
Continuous distributions: Normal and Exponential
Sampling and the Central Limit Theorem
One sample hypothesis testing and confidence intervals
Two sample hypothesis testing and confidence intervals
Regression: simple linear and Multiple
Analysis of Variance
Process and quality control
Forecasting
Nonparametric tests
Exams
3 exams
60%
Assignments 20%
Final
20%
Assignments
Approximately 10 computer assignments will be required during the
course. These assignments are to be done individually and handed in before
class on the due date. No assignments will be accepted late.
Approximate Schedule
Jan. 7, 9
Chap.1 Introduction to Minitab,
entering and displaying data
Jan. 14, 16
Chap.2, 3 Manipulating and describing data
Jan. 23, 25 Chap
4 Graphical Techniques
Jan. 28, 30 Exam
1, Chap 5 Binomial, Poisson, Normal and Exponential
Feb. 4, 6 Chap.6
Sampling, Central Limit Theorem
Feb.11,13 Chap 7
Single sample confidence intervals, hypothesis testing
Feb.18,20 Chap.8
Inferences based on 2 samples
Feb.25, 27 Review
and Exam 2
Mar 4, 6 Chap
9 Simple Linear Regression
Mar. 11, 13
Chap. 10 Multiple regression
Mar. 25, 27
Review and Exam 3
Apr. 1, 3 Chap.11
Analysis of Variance
Apr. 8, 10
Chap.12 Process and Quality
Control
Apr. 15, 17 Chap. 15 Categorical Data
Analysis
Apr. 22, 24
Review
Important Dates
Feb. 27 Last day to withdraw with “W”
Mar. 17- 21
Spring Break
Apr. 24 Last day
of Class
May 6 Tue. 11:00 – 1:00 p.m. Final