Applied Statistics

Course Number: ENGRG 6050
Course Name: Applied Statistics (Online)
Course Description:    This course is an on-line 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. P: MATH 2740 with a grade of "C" or better.
Prerequisites:    None
Level: Graduate
Credits: 3
Format: Online
Program: Master of Science in Engineering
Master of Science in Project Management
Master of Science in Integrated Supply Chain Management

Registration Instructions

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.

Additional Information

Learning Outcomes

The broad course outcomes for ENGRG 6050 are as follows:

  • 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
This first unit introduces you to some of the basic ideas and principles that provide a background for the application of statistics. You will learn how to describe data using graphical and numerical methods as well as the basic concepts of probability that underlie the methods we will cover in later units. Much of this unit will be review for many, but not all, of you. If it is a review for you – do be sure that you have a firm understanding of the concepts before you move on.

Some students may find the chapter 3 material (on probability and counting methods) to be difficult. If you do hang in there - it does get easier once this material is completed.

Unit 2
In this unit, we will learn about the two different types of random variables and how to calculate means and variances for each. The first lesson mainly covers discrete random variables and introduces continuous random variables.  The second lesson continues with more details about continuous random variables.  These two lessons consist of background material used in the remaining units.

Unit 3
In this unit we get to the "meat and potatoes" of statistics. You will learn how to construct confidence intervals used to estimate each of the population parameters you have learned about. You will also learn how to construct confidence intervals that compare parameters from different populations.

Hypothesis tests are a method of inference used to make decisions about population parameters. Be sure to pay attention to the commentary where the steps to doing a hypothesis test are outlined – you must include these steps in each test that you do. We will also learn about hypothesis tests for categorical variables.

Unit 4
In this unit we are going to cover two major topics – control charts and regression.  Control charts are going to be covered over lessons 7 & 8. There are lot of different types of control charts that will be covered, so pay attention to when it is appropriate to use each one.  Regression will be covered in lesson 9.  Regression is where we look at relationships that can exist between quantitative variables and see whether we can use one or more to make predictions about a response.

Unit 5
In this final chapter you will learn the basics of experimental design and how to analyze the results of basic designs. You will use Minitab to carry out all of the analyses, as they are very time consuming if done by hand.

Grading Information

Scores on weekly homework, group projects, online discussions, and the four exams will determine the final grades.

The final grade will be divided among these as follows:

Exams 45%
Homework 25%
Projects 20%
Discussions 10%

Grading Scale
A 90% - 100%
B 80% - 89%
C 70% - 79%
D 60% - 69%
F 0% - 59%

The exams are open-book, but are to be completed individually. Group work is not allowed on exams.

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