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Click on any topic below to link to its description:
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- Scatterplot is known as one of the Seven Quality Control (QC) tool which is widely used in manufacturing industries. It has been expanded to service/academy industries as it is flexible to use for examining the relationship for two variables.
- A graphical analysis to assess the relationship between two variables.
- The values of the two variables serve as the x- and v-coordinates for plotting each observation.
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The following will be covered during web demo:
1. How to use Scatterplot in Minitab ?
2. How to interpret the graphical analysis result?
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Use these graphs to assess and compare properties of distributions, such as:
- Where sample values are centered
- Whether a sample distribution is symmetrical or skewed;
- Whether sample data follow a specific distribution;
- How many peaks exist in the sample distribution (more than one peak can indicate that data are form multiple population);
- What the most commonly observed values in the sample are.
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During the web demo session, you will be shared:
1. How to analyze the data using Histogram in Minitab?
2. How to interpret the Histogram graphical analysis results?
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- Use Boxplots (also called box-and-whisker plots) to assess and compare sample distributions.
- Evaluate the mean, median, inter-quartile range, etc. in comparing the sample distributions.
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During the web demo session, you will be shared:
1. How to analyze the data using Boxplot in Minitab?
2. How to interpret the Boxplot graphical analysis results?
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- Used to evaluate the shape and central tendency of your data. Like a histogram, a Dotplot is divided into bins.
- However, a dotplot can be more useful than a histogram when you have a small amount of data because:
- By default, a Dotplot has many more bins than a histogram.
- Each dot represents a single observation (or a small number of observations).
- Dotplots are also useful for comparing groups of data.
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During the web demo session, you will be shared:
1. How to analyze the data using Dotplot in Minitab?
2. How to interpret the Dotplot graphical analysis results?
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| 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.
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During the demo session, you will be shared:
1. How to analyze the data using Multi-Vari Chart in Minitab?
2. How to interpret the Multi-Vari graphical analysis results?
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- 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.
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During the web demo session, you will be shared:
1. How to analyze the data using Pareto Chart in Minitab?
2. How to interpret to PAreto Chart analysis results?
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- 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.
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During the web demo session, you will be shared:
1. How to analyze the data using SPC control charts in Minitab?
2. How to interpret the SPC control chart analysis results?
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| What is Process Capability? |
- The ability to produce products or provide services that meet specifications defined by the customer's needs
- Capability analysis reveals how well the manufacturing process meets these specifications, and provides insight into how to improve the process and sustain your improvements.
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During the web demo session, you will be shared:
1. How to analyze the data using process capability in Minitab?
2. How to interpret the process capability analysis results?
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- Process maps illustrate the sequential flow and relationship of steps in a process or procedure.
- By clearly representing your process, an effective process map will help:
- Identify ways to streamline or improve a process
- Define process boundaries
- Uncover problems or miscommunications
- Develop shared knowledge about a process
- Lay out an ideal or redesigned process
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During the web demo session, you will be shared:
1. How to analyze the data using process map in Minitab?
2. How to interpret the process map analysis results?
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| What is Fishbone Diagram? |
- Fishbone (cause-and-effect or Ishikawa) diagram is used to organize barnstorming information about potential causes of an effect or problem. Diagramming helps you to see relationships among potential causes.
- For manufacturing projects, typical labels for the affinities or branches are: Personnel, Machines, Materials, Methods, Measurements, and Environment. The diagram shows a fishbone that organizes the causes of delayed lab result into these six categories.
- For service quality projects, standard categories for the affinities are: Policies, Procedures, People, and Plant/Technology.
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During the web demo, you will be shared:
1. How to analyze the data using Fishbone Diagram in Minitab?
2. How to interpret the Fishbone Diagram analysis results?
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| 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.
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During the web demo session, you will be shared:
1. How to analyze the Capability Sixpack in Minitab?
2. How to interpret the Capability Sixpack analysis results?
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| What is Minitab Tips & Tricks? |
- Minitab 15 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.
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During the web demo session, you will be shared:
1. How to gain and apply the Minitab 15 Tips and Tricks?
2. How to make full use of the Minitab 15 tools?
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| 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.
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During the web demo session, you will be shared:
1. How to analyze the factorial designs in Minitab?
2. How to interpret the factorial designs analysis results?
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| 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.
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During the web demo session, you will be shared:
1. How to analyze the ANOVA in Minitab?
2. How to interpret the ANOVA analysis results?
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- 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.
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During the web demo session, you will be shared:
1. How to analyze the Gage R & R in Minitab?
2. How to interpret the Gage R & R analysis results?
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- 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.
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During the web demo session, you will be shared:
1. How to analyze the 1-sample t-test in Minitab?
2. How to interpret the 1-sample t-test analysis results?
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| What is VSM (Quality Companion with Value Stream Mapping)? |
- Quality Companion manages all the tools and documents related to your project in a single project file to easily share, review, and archive your work. Use Quality Companion Dashboard to monitor the progress and results of all your Quality Companion project files with the free Dashboard utility.
- Value Stream Mapping is a key tool in many Lean projects, illustrates the flow of materials and information as a product or service moves through the value stream.
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During the web demo session, you will be shared:
1. How to use the various tools in Quality Companion?
2. How to use the Dashboard and Value Stream Mapping in Quality Companion?
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| What is Quality Companion Tips and Tricks? |
- Quality Companion Tips and Tricks provides you the simplified and easiest way to feel comfortable in navigating the Quality Companion procedures to manage your tools in the Quality Companion project.
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During the web demo session, you will be shared:
1. How to apply the Quality Companion Tips and Tricks?
2. How to make full use of the Quality Companion tools?
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- Quality Trainer is an e-learning service which provides you the convenient way to learn the statistics you need to improve quality and how to use Minitab Statistical Software to analyze your data any time you are online.
- Our flexible subscription plans let you work at your own pace and refresh your knowledge whenever you need.
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During the web demo session, you will be shared:
1. How to apply the Quality Trainer?
2. How to make full use of the Quality Trainer?
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Minitab 15 Web Demo Topics