## How to Run a Design of Experiments – Two Factorial in Minitab

What's Design of Experiments - Two Factorial in Minitab? DOE, or Design of Experiments is an active method of manipulating a process as opposed to passively observing a process.  DOE enables operators to evaluate the changes occurring in the output (Y Response,) of a process while changing one or more…

## How to Run a Design of Experiments (DOE) – One Factor at a Time (OFAT) in Minitab

What's Design of Experiments (DOE) - One Factor at a Time (OFAT)? DOE, or Design of Experiments is an active method of manipulating a process as opposed to passively observing a process.  DOE enables operators to evaluate the changes occurring in the output (Y Response,) of a process while changing…

## How to Run a Mood’s Median Test in Minitab

What's a Mood's Median Test? The Mood’s Median Test is a hypothesis test that determines whether a statistically significant difference exists between the medians of two or more independent sets of non-normally distributed continuous data. It is useful for determining if a particular strata or group could provide insight into…

## How to Run a Process Capability Test (Discrete) in Minitab

What's Process Capability? Process Capability is a measurement of how well a Process’ Outputs meet Customer Requirements. Strong Process Capability indicates that a high percentage of Output meets Customer Requirements, while Weak Process Capability means the opposite. Weak Process Capability is usually due to unacceptably high variability of Output that…

## How to Run a Process Capability Test (Continuous) in Minitab

What's Process Capability? Process Capability is a measurement of how well a Process’ Outputs meet Customer Requirements. Strong Process Capability indicates that a high percentage of Output meets Customer Requirements, while Weak Process Capability means the opposite. Weak Process Capability is usually due to unacceptably high variability of Output that…

## How to Run a Two-Sample T-Test in Minitab

What's a Two-Sample T-Test? The Two-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the averages of two independent sets of normally distributed continuous data. It is useful for determining if a particular strata or group could provide insight into the root cause of…

## How to Run a Test for Two Variances in Minitab

What's a Test for Two Variances (AKA F-Test)? The Test for Two Variances is a hypothesis test that determines whether a statistically significant difference exists between the variance of two independent sets of normally distributed continuous data. It is useful for determining if a particular strata or group could provide insight…

## How to Run a One-Way ANOVA in Minitab

What's a One-Way ANOVA? The One-Way ANOVA Test is a hypothesis test that determines whether a statistically significant difference (aka variance) exists between the averages of two or more independent sets of normally distributed continuous data. It is useful for determining if a particular strata or group could provide insight…

## How To Run A One-Sample T-Test In SigmaXL

What's A One-Sample T-Test? The One-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the average of a normally distributed continuous data set and a standard. It provides a way to determine if there is truly a difference between the standard and a particular…

## How to Run a One-Sample T-Test in Minitab

What's a One-Sample T-Test? The One-Sample T-Test is a hypothesis test that determines whether a statistically significant difference exists between the average of a normally distributed continuous data set and a standard. It provides a way to determine if there is truly a difference between the standard and a particular…

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