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Course Length: 3 Days
Prerequisites: Introduction to Data Analytics 2


Course Description

Course participants learn to employ some of the most powerful analytical procedures to make better data-based decisions. The course introduces methods to determine if valid statistical and practical differences exist and whether process improvements are effective. Participants learn how to determine sample size, combat bias, conduct “good” research, and organize historical data to uncover interesting patterns and differences. The course uses many, many fun and hands-on class exercises, practical data analysis, 1:1 attention, decision trees, and job aides to develop skills and reinforce understanding.


    Topics covered by this course include:
  • Confidence intervals
  • Introduction to hypothesis testing (comparative analysis)
  • Testing of means
  • Testing of variances
  • Testing of proportions
  • Sample size for comparative methods
  • Inferential Statistics for Attribute Data
  • 1-way ANOVA
  • K-way ANOVA
  • Multiple regression
  • An extensive 3-day multi-part simulation


At the conclusion of this course, participants will have gained hands-on experience analyzing real-life data. The best part: we encourage participants to bring in their own data and use it for each topic and exercise. Participants who cannot or choose not to bring in their own data will be provided data to work with.


Topics covered in class are relevant to all levels of experience. Our instructors simplify complex topics and present them clearly and concisely. Case studies and in-class exercises allow the participant to combine and utilize concepts learned during the course.


Our Unique Approach to Training


Learning data analysis doesn’t have to be a burden. Some suggest “to learn” is our most basic human need. We strive to develop courses so you have fun learning: flinging, spinning, and conducting acts of physical and mental creativity. Read on >>



Course Goals

Learn how to stratify (break apart) large data into subsets we can work with.
Learn how compare two or more sets of proportions.
Learn how to compare two or more sets of means.
Learn how to compare the variability between two or more sets of data.
Learn advanced techniques to look relationships between two or more sets of data.
Learn how to create and use a “model” from your data.

Who should take the Hypothesis Testing course?




This course is ideal for analysts, researchers, scientists, Lean Six Sigma practitioners or any employee of an organization who desires to or is required to know about how to go beyond basic data analysis and use analytical techniques to prove statistical differences in two or more sets data.

Training with JMP, Minitab or Excel


In addition to data analytics training, participants will learn and work with the industry’s leading data analysis software (Excel, Minitab or JMP.). We provide this hands-on training because VRDS believes the best way to learn something is to do it. By using these tools to complete individual and group projects throughout the course, participants learn concepts, application and software at the same time.

Customized Courses


VRDS will customize any on-site course(s) to suit the unique business requirements of our clients. From the modification of standard curriculum to new course development, we will provide the education and training your organization needs to be more productive in today’s competitive environment.

Schedule and Location


This Six Sigma Certification course is taught on-demand at your facilities. If you do not have facilities that are suitable, VRDS can arrange facilities with the necessary equipment in the most convenient location for your participants. Contact us for more information about this course.

Interested in any of our provided services? Contact us today!