Minitab Live Web Demo
What is SPC Chart?
Statistical Process Control (SPC) chart plots your process data in time-ordered sequence to help identify common cause and special cause variation.
By identifying the different causes of variation, you can take action on your process without over-controlling it.
While there are several different control charts that you can choose depending on your data, all control charts share the same basic components:
- Expected variation region - are between lower and upper control limits. This is where your process is expected perform unless a change occurs. Also known as common cause variation.
- Unexpected variation region - area beyond control limits. Also known as special cause variation. This variability should be investigated and acted upon.
During the web demo session, you will be shared:
- How to analyze the data using SPC control charts in Minitab?
- How to interpret the SPC control chart analysis results?
What is Minitab Tips & Tricks?
Minitab Tips and Tricks provides you the simplified and easiest way to feel comfortable in navigating the Minitab procedures to manage your data in the worksheet, statistical and graphical analysis, and customizing the Minitab tools.
During the web demo session, you will be shared:
- How to gain and apply the Minitab Tips and Tricks?
- How to make full use of the Minitab tools?
What is Pareto Chart?
Pareto charts are a type of bar chart in which the horizontal axis represents categories of interest, rather than a continuous scale. The categories are often "defects".
By ordering the bars from largest to smallest, a Pareto chart can help you determine which of the defects comprise the "vital few" and which are the "trivial many".
A cumulative percentage line helps you judge the added contribution of each category. Pareto charts can help to focus improvement efforts on areas where the largest gains can be made.
During the web demo session, you will be shared:
- How to analyze the data using Pareto Chart in Minitab?
- How to interpret to PAreto Chart analysis results?
What is Capability Sixpack?
Capability Sixpack consists of the control charts, histogram, and normal probability plot which provide you the quick and simple way to verify the statistical assumptions of process data stability and normality in order to correctly estimate the process capability in one graph layout.
During the web demo session, you will be shared:
- How to analyze the Capability Sixpack in Minitab?
- How to interpret the Capability Sixpack analysis results?
What is Multi-Vari Chart?
Multi-Vari charts are a way of presenting analysis of variance data in a graphic form providing a "visual" alternative to analysis of variance.
These charts may also be used the preliminary stages of data analysis to get look at the data.
The chart displays the means at each factor level for every factor.
During the demo session, you will be shared:
- How to analyze the data using Multi-Vari Chart in Minitab?
- How to interpret the Multi-Vari graphical analysis results?
What is DOE (Design Of Experience)?
Factorial designs allow for the simultaneous study of the effects that several factors may have on a process.
When performing an experiment, varying the levels of the factors simultaneously rather than one at a time is efficient in terms of time and cost, and also allows for the study of interactions between the factors.
Interactions are the driving force in many processes.
Without the use of factorial experiments, important interactions may remain undetected.
During the web demo session, you will be shared:
- How to analyze the factorial designs in Minitab?
- How to interpret the factorial designs analysis results?
What is ANOVA (Analysis Of Variance)?
Tests the hypothesis that the means of two or more populations are equal.
ANOVAs evaluate the importance of one or more factors by comparing the response variable means at the different factor levels.
The null hypothesis states that all population means (factor level means) are equal while the alternative hypothesis states that at least one is different.
During the web demo session, you will be shared:
- How to analyze the ANOVA in Minitab?
- How to interpret the ANOVA analysis results?
What is Gage R & R?
Gage repeatability and reproducibility studies determine how much of your observed process variation is due to measurement system variation.
All variation is associated with a measurement process according to the measurement system variation.
projects, standard categories for the affinities are: Policies, Procedures, People, and Plant/Technology.
During the web demo session, you will be shared:
- How to analyze the Gage R & R in Minitab?
- How to interpret the Gage R & R analysis results?
What is Pareto Chart?
Pareto charts are a type of bar chart in which the horizontal axis represents categories of interest, rather than a continuous scale. The categories are often "defects".
By ordering the bars from largest to smallest, a Pareto chart can help you determine which of the defects comprise the "vital few" and which are the "trivial many".
A cumulative percentage line helps you judge the added contribution of each category. Pareto charts can help to focus improvement efforts on areas where the largest gains can be made.
During the web demo session, you will be shared:
- How to analyze the data using Pareto Chart in Minitab?
- How to interpret to PAreto Chart analysis results?
What is 1-sample t-test?
Use 1-Sample t to compute a confidence interval and perform a hypothesis test of the mean when the population standard deviation, s, is unknown.
During the web demo session, you will be shared:
- How to analyze the 1-sample t-test in Minitab?
- How to interpret the 1-sample t-test analysis results?