Learn how to make data-driven decisions
To successfully lead a project, you need to learn how to use the best statistical software available. In addition, to use the software effectively, you need a thorough understanding of the underlying statistical concepts and assumptions. This course focuses on preparing you well for both skills.
The course consists of 12 modules covering topics such as descriptive statistics, discrete and continuous probability distributions, hypothesis testing, analysis of variance, linear regression, design of experiments and statistical process control. Students will learn through instructional videos, assignments and quizzes. Access to Minitab statistical software is required. Instruction on how to use the software is also provided through computer lab exercises.
Your instructor has a doctorate in statistics, and she’s readily available to explain concepts during the weekly office hours.
Material covered in the course spans the American Society for Quality’s Black Belt body of knowledge and Statistics has required textbooks.
Course Outline:
Module topics incorporate Minitab labs and assignments:
- Descriptive Statistics
- Types of Data
- Level of Measurement
- Descriptive Statistics
- Graphical Analysis
- Probability
- Counting Techniques
- Sampling with and without Replacement
- Conditional Probability
- Probability Rules
- Bayes’ Theorem
- Discrete Probability Distributions
- Discrete Uniform
- Binomial
- Hypergeometric
- Poisson
- Continuous Probability Distributions
- Normal
- Standard Normal
- Central Limit Theorem
- Student’s t Distribution Hypothesis Testing
- One Sample
- Two Sample
- Confidence Intervals
- Sample Sizes
- Chi-Squared Tests
- Analysis of Variance
- One-way
- Two-way
- Regression
- Correlation
- Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Design of Experiments
- Full Factorial
- Fractional Factorial Control Charts
- Variables
- Attribute
- Process Capability
- Normal Data
- Non-normal Data