
Download the free pdf slide deck included with this course, featuring all slides discussed, designed with white space for notes to boost learning retention and course value.
Compare means using t tests, z tests, and analysis of variance, and explore the F distribution, full factorials, and Taguchi fractional factorial designs.
learn how hypothesis testing and experimental design inform statistical decisions, and use Excel, Minitab, and key macros to perform t-tests and z-tests with the Analysis Toolpak.
Use a z test with known sigma to test mu=15; sample mean 14.8 from 50 lines at 1% alpha yields z = -2.83, leading to rejecting the null.
Perform a two-tailed z-test comparing the new nylon coating tooling to the 0.0064 mm standard, using 25 samples; since z = -1.875 is within ±1.96, we accept the null.
Access a downloadable glossary of terminology that consolidates key terms from the course. Responding to student feedback, it adds terms like logistic regression and Poisson distribution, with a reference pdf.
The one-way ANOVA compares four groups—education, business, behavioral science, and Fine Arts—with 32 students’ percent scores on a US history test, and finds no significant difference at alpha 0.05.
Taguchi L4 example shows drill speed as the significant factor in drilling quality. Drill type and lubrication do not matter, so use the cheapest drill and save lubricant.
Assess a Taguchi designed, fractional factorial study of a laptop fan to reduce noise by evaluating five factors, including fan blade surface and air gap, at two levels.
Apply t-tests, z-tests, and tests for proportions to improve decision making, and use ANOVA with full and fractional factorials to evolve processes.
Conclude the foundations of statistical decision making course by applying intermediate tools to break down data and make accurate manufacturing decisions, with lifetime access and ideas you can apply.
Effective decision making is what separates successful manufacturing professionals from everyone else. And to make effective technical decision, you must correctly understand, analyze and interpret the data.
More than hazarding a guess or using simple tools like averages and visualizations, this class will teach you a broad selection of intermediate-level statistical tools useful in solving your difficult quality, engineering and process improvement problems.
Topics in Foundations of Statistical Decision Making include:
The benefits and advantages of statistical experiments
Hypothesis testing - where and why it's used.
Error in hypothesis testing
Designing a statistical experiment
T tests for means
Z tests for means and proportions
Design and analysis of experiments (DOE)
Practical tips for a successful DOE
One and two factor analysis of variance (ANOVA)
Full factorial experiments
Fractional factorial experiments
An introduction to Taguchi Methods
A case study showing an L8 Taguchi experiment
Lots of real-life examples from manufacturing
References for your further study
And MUCH more
Unlike some classes taught from a purely academic perspective with little connection to the real world, this class was designed and taught by manufacturing professionals for manufacturing professionals. By the time you are done with this course, you will have a clear understanding how to use statistical models in your work, and be prepared to continue your training onto to more advanced statistical tools.
Listen to what other students have said about Foundations of Statistical Decision Making:
"A great introduction on how to perform design of experiments and analysis of variance." - Don M.
"Both speakers presented very interesting topics on ... statistical decision making for process improvement" - Jacky F.
"It's excellent ... exceeded my expectations" - Molas S.
When you enroll in Foundations of Statistical Decision Making, you get:
3+ Hours of high quality lecture video
LOTS of real life examples of statistical experiments
15 Excel templates detailing the statistical design techniques taught in this class.
The COMPLETE SET OF COURSE SLIDES
LIFETIME ACCESS to all course materials AND all other materials we may add later.
A Certificate of Completion with your name, the course's name, and the time duration of the course (useful for fulfilling the need of some CEU requirements)
Q&A access through the Udemy platform to a 40+ year manufacturing, quality, engineering, and business professionals.
So if you're a manufacturing, quality, process or industrial engineer or manager looking to take the next step in your decision making skills, this is the class for you!!
Sign up today!!