# Applied Statistics

 Course Number: ENGRG 6050 Course Name: Applied Statistics (Online) Course Description: This course is an online introductory course in statistics.  This foundation course is designed to prepare a student for study in the Master of Science in Engineering program or the Master of Science in Project Management program.  This course will cover basic concepts of probability, discrete and continuous random variables, confidence intervals, hypothesis testing, and applications of statistics including simple linear regression, multiple regression, basic design of experiments and ANOVA.  This course is not appropriate for students seeking a MS or MA degree in mathematics. Prerequisites: MATH 2740 with a grade of "C" or better Level: Graduate Credits: 3 Format: Online Program: Master of Science in EngineeringMaster of Science in Project ManagementMaster of Science in Integrated Supply Chain Management

NOTE: The information below is representative of the course and is subject to change.  The specific details of the course will be available in the Desire2Learn course instance for the course in which a student registers.

Learning Outcomes
Upon completion of this course, you should be able to

• Apply the methods of statistics appropriately and make data-based decisions.
• Work in groups on a statistical project and report the results in writing.
• Demonstrate an understanding of the processes and procedures of statistical research.
• Use statistical software, Minitab, to analyze data.

Unit Descriptions

Unit 1: Introduction

• Data Collection
- Sampling
- Experiments
• Data Displays
- Including the use of statistics software to graph data.

Unit 2: Random Variables

• Discrete Random Variables
• Continuous Random Variables
- Normal Distribution
- Weilbull Distribution

Unit 3: Estimation and Testing

• Confidence Intervals and Hypothesis Tests
- One Mean
- One Proportion
- Two Means or Proportions
- Paired Data
- Variances

Unit 4: Control Charts and SPC

• X-Bar and R Charts
• X-Bar and S Charts
• X-Charts
• NP-Charts
• C-Charts
• Run Charts
• CUSUM and EWMA Charts
• Gage R&R Studies

Unit 5: Regression and Design of Experiments

• Simple Linear Regression and Correlation
• Multiple Linear Regression
• Factorial Designs