**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
**

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** Exams**

**3 exams
60%**

**Assignments 20%**

**Final
20%**

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**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 **