# Tag Archives | JMP

## Attribute MSA with JMP

Use JMP to Implement an Attribute MSA Data File: “AttributeMSA.jmp” Steps in JMP to run an attribute MSA: Click Analyze -> Quality & Process ->Variability/Attribute Gauge Chart Select “Appraiser A”, “Appraiser B” and “Appraiser C” as “Y, Response” Select “Part” as “X,Grouping” Select “Reference” as “Standard” Select “Attribute” as the “Chart Type” Click “OK” Click on […]

## Variable Gage R&R with JMP

What is Variable Gage R&R? Variable Gage Repeatability & Reproducibility  (Gage R&R) is a method used to analyze the variability of a measurement system by partitioning the variation of the measurements using ANOVA (Analysis of Variance). Whenever something is measured repeatedly or by different people or processes, the results of the measurements will vary. Variation […]

## Run Chart with JMP

What is a Run Chart? A run chart is a chart used to present data in time order. Run charts capture process performance over time. The X axis of a run chart indicates time and the Y axis shows the observed values. A run chart is similar to a scatter plot in that it shows […]

## Scatter Plot with JMP

What is a Scatter Plot? A scatter plot is a diagram to present the relationship between two variables of a data set. A scatterplot consists of a set of data points. On the scatterplot, a single observation is presented by a data point with its horizontal position equal to the value of one variable and […]

## Box Plot with JMP

What is a Box Plot? A box plot is a graphical method to summarize a data set by visualizing the minimum value, 25th percentile, median, 75th percentile, the maximum value, and potential outliers. A percentile is the value below which a certain percentage of data fall. For example, if 75% of the observations have values […]

## One Sample t Test with JMP

One Sample t Test What is a t Test? In statistics, a t test is a hypothesis test in which the test statistic follows a Student’s t distribution if the null hypothesis is true. We apply a one sample t test when the population variance (σ) is unknown and we use the sample standard deviation […]

## Central Limit Theorem with JMP

What is Central Limit Theorem? The Central Limit Theorem is one of the fundamental theorems of probability theory. It states a condition under which the mean of a large number of independent and identically-distributed random variables, each of which has a finite mean and variance, would be approximately normally distributed. Let us assume Y1, Y2 […]

## Multi Vari Analysis with JMP

What is Multi-Vari Analysis? Multi vari analysis is a graphic-driven method to analyze the effects of categorical inputs on a continuous output. It studies how the variation in the output changes across different inputs and helps us quantitatively determine the major source of variability in the output. Multi-vari charts are used to visualize the source […]

## Kruskal Wallis with JMP

What is Kruskal–Wallis One-Way Analysis of Variance? The Kruskal Wallis one-way analysis of variance is a statistical hypothesis test to compare the medians among more than two groups. It is an extension of Mann–Whitney test. While the Mann–Whitney test allows us to compare the samples of two populations, the Kruskal Wallis test allows us to […]

## Chi Square Test with JMP

Chi Square (Contingency Tables) We have looked at hypothesis tests to analyze the proportion of one population vs. a specified value, and the proportions of two populations, but what do we do if we want to analyze more than two populations? A chi-square test is a hypothesis test in which the sampling distribution of the […]

## Correlation Coefficient with JMP

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## Fractional Factorial Designs with JMP

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## Full Factorial DOE with JMP

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## Logistic Regression with JMP

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## Stepwise Regression with JMP

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## P Chart with JMP

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## U Chart with JMP

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## XBar R Chart with JMP

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## Box Cox Transformation with JMP

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## IR Chart with JMP

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