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Learn JMP Events

Events designed to further your knowledge and exploration of JMP.
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  • Fitting a Simple Logistic Regression

    Setting up the analysisSetting the value ordering column propertyInterpreting the analysisThe logistic curve graphThe parameter estimates tableSaving the predicted valuesFit details and themisclassification rate Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   Setting up the analysis In this example, we use the Impurity Logistic data t...

    Learning Library |
    Dec 3, 2021 1:05 PM
    7048 views | 0 replies
  • Creating Histograms in JMP

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos)   In this article, we show how to create histograms using the Distribution platform in JMP for the Impurity data. We also show how to interact with linked histograms to explore potential relationships between variables.   To start, we select Distribution from the Analyze menu.   We selec...

    Learning Library |
    Dec 3, 2021 1:05 PM
    22844 views | 0 replies
  • Saving Your Work Using Scripts

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this article, you learn how to save the steps for producing an analysis to the data table as a JMP script. This enables you to re-run the analysis again later.   To start, we run an analysis. We’ll run a distribution analysis using the Impurity data.   We select Impurity for Y, Column...

    Learning Library |
    Dec 3, 2021 1:05 PM
    4217 views | 0 replies
  • Summarizing Continuous Data with the Distribution Platform

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create box plots and summary statistics using the Distribution platform in JMP for the Impurity data.   To start, we select Distribution from the Analyze menu.   We select Impurity for Y, Columns, and click OK. We select Stack from the top red triangle next t...

    Learning Library |
    Dec 3, 2021 1:05 PM
    3114 views | 0 replies
  • Summarizing Continuous Data with Column Viewer and Tabulate

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos) In this video, we show how to summarize the continuous variables in the Impurity data set using two platforms, Columns Viewer and Tabulate. You see how to summarize categorical variables in future videos.   We begin with Columns Viewer, which can be used to summarize many variables at a t...

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    Dec 3, 2021 1:05 PM
    3000 views | 0 replies
  • Creating Tabular Summaries with Tabulate

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create tabular summaries for the Impurity data. We use Tabulate to create summary statistics for Impurity for the different reactors and shifts.   First, we select Tabulate from the Analyze menu. You can drag and drop variables and statistics to the differen...

    Learning Library |
    Dec 3, 2021 1:05 PM
    2627 views | 0 replies
  • Creating Scatterplots and Scatterplot Matrices

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos) In this video, we show how to create scatterplots and scatterplot matrices for the Impurity data using Graph Builder and Scatterplot Matrix from the Graph menu.   We start by creating a scatterplot using Graph Builder.   First, we select Graph Builder from the Graph menu.   We drag Impur...

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    Dec 3, 2021 1:04 PM
    6815 views | 0 replies
  • Creating Comparative Box Plots with Graph Builder

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos) In this video, we show how to create side-by-side, comparative box plots for the Impurity data using Graph Builder. We use these box plots to compare the Impurity values for the different reactors and shifts.   First, we select Graph Builder from the Graph menu.   We drag Impurity to the...

    Learning Library |
    Dec 3, 2021 1:04 PM
    13927 views | 2 replies
  • Creating Run Charts (Line Graphs) with Graph Builder

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we show how to create run charts for the Impurity data using Graph Builder. We use run charts, or line graphs, to study the behavior of a characteristic over time.   First, we select Graph Builder from the Graph menu.   We drag Impurity to the Y zone, and then drag Batch to ...

    Learning Library |
    Dec 3, 2021 1:04 PM
    4251 views | 0 replies
  • Creating Tabular Summaries for Categorical Data

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create tabular summaries of categorical data using Tabulate and Fit Y by X from the Analyze menu. We use the Chemical Manufacturing data, which has a categorical variable, Performance, with two values, Accept and Reject. Rejected batches did not have a yield...

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    Dec 3, 2021 1:04 PM
    3712 views | 0 replies
  • Creating bar charts and mosaic plots

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos) In this video, we show how to create bar charts and mosaic plots using Distribution, Graph Builder, and Fit Y by X. We use the Chemical Manufacturing data, which has a categorical variable, Performance, with two values, Accept and Reject. Rejected batches did not have a yield > 80%.   We...

    Learning Library |
    Dec 3, 2021 1:04 PM
    5596 views | 0 replies
  • Checking for Normality

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      (view in My Videos) In this video, we show how to check for normality using the Distribution platform and the file Four Distributions. You learn how to create and interpret a normal quantile plot, and how to fit a normal distribution to your data.   To start, we select Distribution from the Analyze menu.   ...

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    Dec 3, 2021 1:04 PM
    9793 views | 0 replies
  • Finding the Area under a Curve

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to find the area under the curve of a probability distribution using the Distribution Calculator teaching module in the JMP Sample Data Index.   To start, we open the Distribution Calculator.   To do this, we go to the Help menu and select Sample Data. Then, un...

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    Dec 3, 2021 1:04 PM
    2592 views | 0 replies
  • The Central Limit Theorem

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    Statistical Thinking for Industrial Problem Solving

      (view in My Videos) The Central Limit Theorem makes the normal distribution particularly useful for statistical analyses.   When you analyze data, you are analyzing one sample of data from a population. If you had selected a different sample, your computed sample statistics would be slightly different.   Th...

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    Dec 3, 2021 1:04 PM
    4029 views | 0 replies
  • Exploring the Central Limit Theorem

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    (view in My Videos)   In this video, we illustrate the Central Limit Theorem using the Sampling Distribution of Sample Means teaching module in the JMP Sample Data Index.   To start, we open the Sampling Distribution of Sample Mean teaching module.   To do this, we go to the Help menu and select Sample Data. ...

    Learning Library |
    Dec 3, 2021 1:04 PM
    2078 views | 0 replies
  • Switching Columns in an Analysis

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos) In this video, we use the Chemical Manufacturing data to show how to use the Column Switcher in JMP.   The Column Switcher makes it easy to explore or analyze different variables, without rerunning the analysis each time.   To start, we need an analysis. We’ll create comparative box plots ...

    Learning Library |
    Dec 3, 2021 1:04 PM
    4625 views | 0 replies
  • Creating Sorted Bar Charts and Pareto Plots

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create a Pareto plot using the EngineDefect 2 data. Pareto plots are used to identify the biggest issues or opportunities.   The data table includes data about 21 engine defect categories. For each defect, a count of the number of times the defect occurred w...

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    Dec 3, 2021 1:04 PM
    3968 views | 0 replies
  • Creating Packed Bar Charts

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create a packed bar chart using the S&P 500 data. Packed bar charts are useful when you have many levels of a categorical variable.   This example is from the S&P 500 from March 2017. The S&P 500 is a report of the market value (or market capitalization) for...

    Learning Library |
    Dec 3, 2021 1:04 PM
    1436 views | 0 replies
  • Using the Local Data Filter

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to use local data filtering in JMP. Data filtering makes it easy to update a graph or an analysis based on values of other variables in the data set.   We use the Scrapped Parts scenario for illustration. This is data about scrapped parts collected for 811 batc...

    Learning Library |
    Dec 3, 2021 1:04 PM
    16573 views | 0 replies
  • Creating a Tree Map

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create a tree map using the S&P 500 data. Tree maps show values as rectangles in a rectangular display and are useful when you have categorical data with many levels.   This example is from the S&P 500 from March 2017. The S&P 500 is a report of the market v...

    Learning Library |
    Dec 3, 2021 1:04 PM
    2377 views | 0 replies
  • Creating Trellis Plots and Using Overlay Variables

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    (view in My Videos)   In this video, we show how to graph multidimensional data using trellis plots and overlay variables with the Mobile Cellular data.   This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017. The data set includes information about 217 countries grouped into se...

    Learning Library |
    Dec 3, 2021 1:04 PM
    2731 views | 0 replies
  • Creating Bubble Plots

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create bubble plots using the Mobile Cellular data. This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017.   A bubble plot is like a scatterplot, but you can add animations and extra dimensions.   We are interested in exploring...

    Learning Library |
    Dec 3, 2021 1:04 PM
    4390 views | 1 replies
  • Creating Heat Maps

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create heat maps using the Mobile Cellular data.   This is data about mobile cell phone subscriptions per 100 people, from 1990 to 2017. The data set includes information on 217 countries grouped into seven regions and four income groups.   In a heat map, th...

    Learning Library |
    Dec 3, 2021 1:04 PM
    15340 views | 0 replies
  • Customizing Graphs

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to customize graphics in Graph Builder with the file Process Yield.jmp. You see how to change titles and labels, change axes, add reference lines, customize legends, change colors, and annotate graphs.   This example involves the average monthly yield for two...

    Learning Library |
    Dec 3, 2021 1:04 PM
    7757 views | 4 replies
  • Organizing Your Saved Scripts

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In a previous video, you learned how to save the steps for producing an analysis to the data table as a JMP Script. This enables you to re-run the analysis later.   Saving scripts to the data table is also an efficient way to save your analysis workflow and to share your analysis steps w...

    Learning Library |
    Dec 3, 2021 1:04 PM
    1403 views | 0 replies
  • Combining JMP Scripts for Analyses

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    (view in My Videos)   In this video, you learn how to combine scripts for different analyses into one script using the file Impurity for Scripts.jmp.   Scripts for three analyses have been saved to the data table.   To start, we run the three saved scripts, one at a time. This produces distribution output for...

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    Dec 3, 2021 1:04 PM
    1811 views | 0 replies
  • Sharing Static Output

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    (view in My Videos)   In this video, you learn how to copy and paste static output into another program, and how to save static output in an image format.   To start, we run an analysis. We’ll run a distribution analysis using the Impurity data. We select Outcome for Y, Columns, and click OK to run the analys...

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    Dec 3, 2021 1:04 PM
    1036 views | 0 replies
  • Saving Your Work in a JMP Journal

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to save your analysis workflow and results in a JMP journal.   To start, we run the three saved scripts in the file Impurity for Scripts.jmp.   At this point, our analysis includes Distribution output for Impurity and Outcome, box plots for Impurity and React...

    Learning Library |
    Dec 3, 2021 1:04 PM
    5329 views | 0 replies
  • Creating an I and MR Chart Using the Control Chart Builder

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   An individual and moving range, or I and MR, chart is used to monitor individual measurements over time.   In this video, we show how to create an I and MR chart using the Control Chart Builder with the White Polymer Crisis Team data.   Recall that, in this scenario, an improvement team ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    3878 views | 0 replies
  • Testing for Special Causes in the Control Chart Builder

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to conduct tests for special causes on an I and MR chart using the Control Chart Builder with the White Polymer Crisis Team data.   Recall that, in this scenario, an improvement team is tasked with improving Yield, and that Yield is related to both MFI and CI. ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    3310 views | 0 replies
  • Creating X-bar and R and X-bar and S Charts

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to create X-bar and R and X-bar and S charts using the Control Chart Builder and the Metal Parts example. For this scenario, the thickness of five consecutive parts is produced every hour.   First, we select Control Chart Builder from the Analyze menu under Qua...

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    Dec 3, 2021 1:03 PM
    10660 views | 0 replies
  • Creating 3-Way Control Charts

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    (view in My Videos)     In this video, we show how to create a 3-way control chart for the Vial Fill Weights data using the Control Chart Builder.   A version of this file is available in the Sample Data Library in JMP under the Help menu, within the Quality Control folder.   In this example, we are studying ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    2698 views | 0 replies
  • Adding Phases to Control Charts

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to add a phase variable to an X-bar and R chart using the Control Chart Builder.   We’ll use the Metal Parts example to see whether there a difference in Thickness before and after implementing process changes. The target thickness is 40 hundredths of an inch. ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    3307 views | 0 replies
  • Calculating Capability Indices Using the Distribution Platform

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to compute capability indices for the Metal Parts example using the Distribution platform in JMP.   To start, we select Distribution from the Analyze menu.   We select Thickness for Y, Columns, and click OK.   To calculate capability indices, we select Process ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    7925 views | 0 replies
  • Conducting a Capability Analysis Using the Control Chart Builder

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to compute capability indices for the Metal Parts example using the Control Chart Builder.   First, we select Control Chart Builder from the Analyze menu under Quality and Process.   We drag the column Thickness into the Y drop zone. Then we drag and drop Hour ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    4925 views | 0 replies
  • Estimating Capability for Nonnormal Data

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to compute capability indices for nonnormal data using the Impurity data and the Distribution platform in JMP.   To start, we select Distribution from the Analyze menu.   We select Impurity for Y, Columns, and click OK.   The distribution appears to be right sk...

    Learning Library |
    Dec 3, 2021 1:03 PM
    4902 views | 0 replies
  • Identifying Poorly Performing Processes

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    (view in My Videos)   In this video, we show how to identify poorly performing processes in JMP using the Semiconductor Capability data, found in the Sample Data library.   This table has 128 process variables grouped together in the columns panel. Each variable has the spec limits saved as a column property....

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    Dec 3, 2021 1:03 PM
    1603 views | 0 replies
  • Creating a Gauge Study Worksheet

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    (view in My Videos)   To design a measurement system study in JMP, we’ll use a script called Gauge Study Design.jsl. This script is in your course data, and a variation of this script is also available in the File Exchange on the JMP User Community.   We’ll design a study with three inspectors measuring 10 pa...

    Learning Library |
    Dec 3, 2021 1:03 PM
    1401 views | 0 replies
  • Visualizing Measurement System Variation

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    (view in My Videos)   For this video, we use the file Micrometer.jmp to demonstrate how to visualize the results of a measurement system analysis in JMP.   We use the Gauge R&R MSA method in the Measurement Systems Analysis platform to create variability charts, we and use the EMP method to create average and...

    Learning Library |
    Dec 3, 2021 1:03 PM
    3182 views | 0 replies
  • Analyzing an MSA, EMP Method

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    (view in My Videos)   For this video, we use the file Micrometer.jmp to demonstrate how to analyze an MSA in JMP.   In this MSA, the measurement system of interest is a hand micrometer, and the quality characteristic is the diameter of metal bearings. The study involves three inspectors measuring 10 parts, wi...

    Learning Library |
    Dec 3, 2021 1:03 PM
    4614 views | 1 replies
  • Conducting a Gauge R&R Analysis

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the file Micrometer.jmp to demonstrate how to conduct a Gauge R&R analysis in JMP.   In this study, the measurement system of interest is a hand micrometer, and the quality characteristic is the diameter of metal bearings. The study involves three inspectors measuri...

    Learning Library |
    Dec 3, 2021 1:03 PM
    62295 views | 9 replies
  • Analyzing Measurement System Bias

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    (view in My Videos)   In this video, we use the file Area MSA Exercise Final.jmp to demonstrate how to analyze bias in the Measurement Systems Analysis platform.   In this study, the measurement system of interest is the area of several objects, measured by different inspectors. The true value, or standard, i...

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    Dec 3, 2021 1:03 PM
    4533 views | 0 replies
  • Understanding the Confidence Level and Alpha Risk

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    (view in My Videos)   In this video, we use a simulation to construct confidence intervals at different confidence levels, and we explore what it means to be statistically “confident.”   We use the Confidence Interval for the Population Mean teaching module for illustration. This module is available from the ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    2133 views | 0 replies
  • Calculating Confidence Intervals

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to construct a 90% confidence interval for the mean using the Impurity data.   To do this, we use the Distribution platform from the Analyze menu. We select Impurity as the Y, Column and click OK.   A 95% confidence interval is provided, by default, in the Su...

    Learning Library |
    Dec 3, 2021 1:03 PM
    29778 views | 0 replies
  • Calculating Prediction and Tolerance Intervals

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    (view in My Videos)   In this video, you learn how to construct prediction intervals and tolerance intervals in JMP using the file Diameter 04.jmp. This data set contains diameter measurements for 100 parts, collected in rational subgroups.   First, we create a distribution analysis for Diameter. To do this, ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    17527 views | 6 replies
  • Conducting a One-Sample t Test

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to conduct a one-sample t test using the file Diameter Test.jmp. This data set contains diameter measurements for 50 randomly selected parts.   First, we run a distribution analysis for Diameter. To do this, we use the Distribution platform from the Analyze m...

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    Dec 3, 2021 1:03 PM
    16491 views | 0 replies
  • A Two-Sample t Test

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    (view in My Videos)   In this video, you learn how to conduct a two-sample t test using the file Breaking Strength.jmp.   In this scenario, the characteristic of interest is the breaking strength of a part in ksi (kilos per square inch). Parts are typically made using Material 1, but they can also be made usi...

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    Dec 3, 2021 1:03 PM
    57680 views | 0 replies
  • Performing a Paired t-Test

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    (view in My Videos)   In this video, we show how to conduct a matched pairs t-test using the file Therm.jmp from the Sample Data Library under the Help menu in JMP.   In this scenario, we compare temperature readings on 20 people, taken with two different types of thermometers. For each person, there are two ...

    Learning Library |
    Dec 3, 2021 1:03 PM
    28261 views | 0 replies
  • Estimating Capability for Nonnormal Data

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to compare more than two means using one-way analysis of variance, or ANOVA. For this video, we use the file Michelson 1879.jmp in the course data. In this scenario, we test the null hypothesis that the mean velocity is equal for all five trials against the a...

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    Dec 3, 2021 1:03 PM
    1291 views | 0 replies
  • Calculating the Sample Size for a Confidence Interval

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    (view in My Videos)   In this video, you learn how to use the Sample Size for Confidence Intervals calculator to compute the sample size required to create a confidence interval with a specified margin of error.   This calculator is available from the Help menu in JMP, under Sample Data and then Calculators. ...

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    Dec 3, 2021 1:03 PM
    14688 views | 0 replies
  • Exploring the Power Animation

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    (view in My Videos)   In this video, we use the Power animation to explore the relationship between sample size and power for a one-sample t test using the file Diameter Test.jmp.   First, we conduct a one-sample t test for Diameter. To do this, we use the Distribution platform from the Analyze menu. We selec...

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    Dec 3, 2021 1:03 PM
    1617 views | 0 replies
  • Calculating the Sample Size for a One-Sample t Test

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    (view in My Videos)   In this video, you learn how to calculate the sample size for a one-sample t test. To do this, we select Sample Size and Power from the DOE menu under Design Diagnostics.   Sample size and power calculations are available for many situations. We’ll select One Sample Mean.   In this scena...

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    Dec 3, 2021 1:03 PM
    3702 views | 0 replies
  • Calculating the Sample Size for Two or More Sample Means

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    (view in My Videos)   In this video, you learn how to calculate the sample size for a two-sample t test and ANOVA. To do this, we select Sample Size and Power from the DOE menu under Design Diagnostics.   To calculate the sample size for a two-sample t test, we select Two Sample Means.   In this scenario, the...

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    Dec 3, 2021 1:03 PM
    13091 views | 0 replies
  • Demonstration: Influence of Outliers

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   To explore the impact of unusual observations and outliers on the correlation coefficient, we use the demoCorr script. This script is in the JMP Sample Scripts Directory.   The demo correlation script starts with several observations and allows us to drag points or add new points and exp...

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    Dec 3, 2021 1:02 PM
    785 views | 0 replies
  • Assessing Correlations

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      (view in My Videos)   Correlation is a measure of the linear association between two variables. In this video, we show how to assess correlations for the Cleaning data using three platforms: Graph Builder, Fit Y by X, and Multivariate.   We start with the Graph Builder, which is the first option under the G...

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    Dec 3, 2021 1:02 PM
    7525 views | 0 replies
  • Fitting a Regression Model

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    (view in My Videos)   In this video, we use the Cleaning data to fit a regression model for Removal and OD using Graph Builder and Fit Y by X.   We start with the Graph Builder, which is the first option under the Graph menu.   We'll drag Removal to the Y zone, and then drag OD to the X zone. The default grap...

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    Dec 3, 2021 1:02 PM
    7295 views | 0 replies
  • Evaluating Model Assumptions

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    (view in My Videos)   In this video, we use the Cleaning data to fit a regression model for Removal and ID using Fit Y by X, and then conduct a residual analysis to evaluate model assumptions.   We select Fit Y by X from the Analyze menu. We'll use Removal as Y, Response, ID as X, Factor, and click OK.   Then...

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    Dec 3, 2021 1:02 PM
    2962 views | 0 replies
  • Interpreting Regression Analysis Results

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    (view in My Videos)   In this video, we again use the Cleaning data to fit a regression model for Removal and ID using Fit Y by X. We'll discuss the statistical output provided, and will see how to make predictions using our regression equation.    We'll again use Removal as the Y, Response and ID as the X, F...

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    Dec 3, 2021 1:02 PM
    6622 views | 0 replies
  • Fitting Polynomial Models

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    (view in My Videos)   In this video, we explore the FreeFall data using the Graph Builder, and see how to fit polynomial models using Fit Y by X.   We'll start by opening the Graph Builder from the Graph menu.   Recall that we are measuring Distance as a function of Time. We'll drag Distance to the Y zone and...

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    Dec 3, 2021 1:02 PM
    8709 views | 0 replies
  • Fitting Multiple Linear Regression Models

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    (view in My Videos)   In this example, we use the Cleaning data and fit a multiple linear regression model for Removal with three predictors, OD, ID, and Weight.   Recall that when we fit a linear model with one response and one predictor, we use either the Graph Builder or the Fit Y by X platform. Graph Buil...

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    Dec 3, 2021 1:02 PM
    9506 views | 0 replies
  • Using the Prediction Profiler

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    (view in My Videos)   In this video, we use the Impurity example and fit a model for the response, Impurity, with three predictors, Temp, Catalyst Conc, and Reaction Time. Then we use the Prediction Profiler to better understand the model coefficients.   Let’s begin by selecting Fit Model from the Analyze men...

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    Dec 3, 2021 1:02 PM
    13979 views | 1 replies
  • Analyzing Residuals and Outliers

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we continue where we left off in the previous JMP demo. Recall that we fit a model for Impurity, with three predictors, Temp, Catalyst Conc, and Reaction Time, using Analyze, Fit Model.   Impurity is the Y variable, and Temp, Catalyst Conc, and Reaction Time are the mode...

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    Dec 3, 2021 1:02 PM
    19971 views | 0 replies
  • Fitting a Model with Categorical Predictors

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we again fit a model for Impurity using Fit Model. But this time, we also add the categorical predictors to the model.   First, we add Impurity as the Y variable.   Adding the categorical predictors to the model is no different than adding continuous predictors. We simpl...

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    Dec 3, 2021 1:02 PM
    3946 views | 0 replies
  • Fitting a Model with Interactions

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this example, we again fit a model for Impurity using Fit Model. But this time we add interactions to the model.   Again, we start by adding Impurity as the Y variable.   Then we add the five main effects, our predictors, to the model.   To add a specific interaction term to the model...

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    Dec 3, 2021 1:02 PM
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  • Selecting Variables Using Effect Summary

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we see how to use the Effect Summary table for variable selection using the Impurity data.   We’ll start by fitting a full model, with interactions, using Fit Model.   First, we’ll select Impurity as the Y.   Then, we’ll select Temp through Shift, and select Macros, and th...

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    Dec 3, 2021 1:02 PM
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  • Assessing Multicollinearity

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    (view in My Videos)   In this video, we use the Bodyfat data to explore multicollinearity in JMP using all the potential predictors.   Recall that, in this scenario, we are interested in predicting %Fat as a function of several physical measurements.

    We’ll start by exploring the data.   We’ll use the Multivar...

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    Dec 3, 2021 1:02 PM
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  • Fitting a Multiple Logistic Regression Model

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the Impurity Logistic example and fit a model for the response, Outcome, with the five main effects, Temp through Shift. We reduce the model and then use the Prediction Profiler to better understand the significant model coefficients.   Let's begin by selecting Fit ...

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    Dec 3, 2021 1:02 PM
    4214 views | 0 replies
  • Fitting a Logistic Regression Model with Interactions

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we use the MetalCoating example and fit a model for the response, Outcome. For this demonstration, we include only the continuous predictors and their two-way interactions as model effects.   We begin by selecting Fit Model on the Analyze menu.   We select Outcome as the Y...

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    Dec 3, 2021 1:02 PM
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  • Designing Full Factorial Experiments

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to design full factorial experiments using the Full Factorial platform in JMP.   To do this, we select DOE, then Classical, and then Full Factorial Design.   In the Responses panel, we can change the response name and the response goal, and we can add responses...

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    Dec 3, 2021 1:02 PM
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  • Analyzing Full Factorial Experiments

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show you how to analyze full factorial experiments in JMP using the file 2x2x2 Unreplicated.jmp.   As the name implies, this is an unreplicated 23 full factorial experiment. The factors are Temperature, Time, and Catalyst, and the response is Yield.   Because this exper...

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    Dec 3, 2021 1:02 PM
    5851 views | 0 replies
  • Creating 2k-r Fractional Factorial Designs

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, you learn how to create 2k-r fractional factorial designs in JMP. We’ll create a fractional design to study five 2-level continuous factors.   To create a fractional factorial design, we select DOE, then Classical, and then Screening Design.   We’ll use Y as the response n...

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    Dec 3, 2021 1:02 PM
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  • Creating Screening Designs in the Custom Designer

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    (view in My Videos)   In this video, we show how to generate a screening design using the Custom Designer in JMP. We’ll create an optimal screening design for the Heck reaction scenario, with five factors.   First, we select Custom Design from the DOE menu.   We change the response to Yield.   There are five ...

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    Dec 3, 2021 1:02 PM
    1905 views | 0 replies
  • Designing a Central Composite Design

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show you two ways to create central composite designs in JMP. First, we use the classical Response Surface Design platform, and then we create the same design using the Custom Designer.   To start, we select DOE, then Classical, and then Response Surface Design.   In th...

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    Dec 3, 2021 1:02 PM
    9657 views | 0 replies
  • Optimizing Multiple Responses

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to analyze an experiment with multiple responses, and how to optimize multiple responses, using the file Anodize.jmp.   In this example, a 12-run custom design with five factors was conducted. The experimental objective is to find settings of the factors to opt...

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    Dec 3, 2021 1:02 PM
    6355 views | 1 replies
  • Simulating Data Using the Prediction Profiler

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    Statistical Thinking for Industrial Problem Solving

    (view in My Videos)   In this video, we show how to do a Monte Carlo simulation in JMP using the Prediction Profiler.   We use the file Anodize.jmp. This file contains the results of a 12-run custom design with five factors and four continuous responses. The experimental objective was to find settings of the ...

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    Dec 3, 2021 1:02 PM
    6188 views | 0 replies