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  • Creating Trellis Plots and Using Overlay Variables

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:04 PM
    3426 views | 0 replies
  • Creating Bubble Plots

    Learn more in our free online course:
    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...

    jules jules
    Dec 3, 2021 1:04 PM
    4776 views | 1 replies
  • Creating Heat Maps

    Learn more in our free online course:
    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...

    jules jules
    Dec 3, 2021 1:04 PM
    16217 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...

    jules jules
    Dec 3, 2021 1:04 PM
    8953 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...

    jules jules
    Dec 3, 2021 1:04 PM
    1593 views | 0 replies
  • Combining JMP Scripts for Analyses

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:04 PM
    2079 views | 0 replies
  • Sharing Static Output

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:04 PM
    1175 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...

    jules jules
    Dec 3, 2021 1:04 PM
    5868 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 ...

    jules jules
    Dec 3, 2021 1:03 PM
    4188 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. ...

    jules jules
    Dec 3, 2021 1:03 PM
    3658 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...

    jules jules
    Dec 3, 2021 1:03 PM
    11468 views | 0 replies
  • Creating 3-Way Control Charts

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    Statistical Thinking for Industrial Problem Solving

    (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 ...

    jules jules
    Dec 3, 2021 1:03 PM
    2988 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. ...

    jules jules
    Dec 3, 2021 1:03 PM
    3521 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 ...

    jules jules
    Dec 3, 2021 1:03 PM
    8624 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 ...

    jules jules
    Dec 3, 2021 1:03 PM
    5533 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...

    jules jules
    Dec 3, 2021 1:03 PM
    5499 views | 0 replies
  • Identifying Poorly Performing Processes

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    Statistical Thinking for Industrial Problem Solving

    (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....

    jules jules
    Dec 3, 2021 1:03 PM
    1834 views | 0 replies
  • Creating a Gauge Study Worksheet

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:03 PM
    1613 views | 0 replies
  • Visualizing Measurement System Variation

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:03 PM
    3575 views | 0 replies
  • Analyzing an MSA, EMP Method

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:03 PM
    5123 views | 1 replies
  • Conducting a Gauge R&R Analysis

    Learn more in our free online course:
    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...

    jules jules
    Dec 3, 2021 1:03 PM
    66984 views | 9 replies
  • Analyzing Measurement System Bias

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    Statistical Thinking for Industrial Problem Solving

    (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...

    jules jules
    Dec 3, 2021 1:03 PM
    4952 views | 0 replies
  • Understanding the Confidence Level and Alpha Risk

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    Statistical Thinking for Industrial Problem Solving

    (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 ...

    jules jules
    Dec 3, 2021 1:03 PM
    2381 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...

    jules jules
    Dec 3, 2021 1:03 PM
    30628 views | 0 replies
  • Calculating Prediction and Tolerance Intervals

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    Statistical Thinking for Industrial Problem Solving

    (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, ...

    jules jules
    Dec 3, 2021 1:03 PM
    18957 views | 6 replies