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Latest Posts

  • Organizing Your Saved Scripts

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:04 PM
    1401 views | 0 replies

  • Combining JMP Scripts for Analyses

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:04 PM
    1807 views | 0 replies

  • Sharing Static Output

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:04 PM
    1032 views | 0 replies

  • Saving Your Work in a JMP Journal

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:04 PM
    5299 views | 0 replies

  • Creating an I and MR Chart Using the Control Chart Builder

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    3876 views | 0 replies

  • Testing for Special Causes in the Control Chart Builder

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    3300 views | 0 replies

  • Creating X-bar and R and X-bar and S Charts

    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 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
    Learning Library |
    Dec 3, 2021 1:03 PM
    10646 views | 0 replies

  • Creating 3-Way Control Charts

    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 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
    Learning Library |
    Dec 3, 2021 1:03 PM
    2692 views | 0 replies

  • Adding Phases to Control Charts

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    3302 views | 0 replies

  • Calculating Capability Indices Using the Distribution Platform

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    7919 views | 0 replies

  • Conducting a Capability Analysis Using the Control Chart Builder

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    4922 views | 0 replies

  • Estimating Capability for Nonnormal Data

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    4893 views | 0 replies

  • Identifying Poorly Performing Processes

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    1602 views | 0 replies

  • Creating a Gauge Study Worksheet

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    1401 views | 0 replies

  • Visualizing Measurement System Variation

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    3180 views | 0 replies

  • Analyzing an MSA, EMP Method

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    4604 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
    Learning Library |
    Dec 3, 2021 1:03 PM
    62218 views | 9 replies

  • Analyzing Measurement System Bias

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    4527 views | 0 replies

  • Understanding the Confidence Level and Alpha Risk

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    2130 views | 0 replies

  • Calculating Confidence Intervals

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    29770 views | 0 replies

  • Calculating Prediction and Tolerance Intervals

    Learn more in our free online course:
    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
    Learning Library |
    Dec 3, 2021 1:03 PM
    17489 views | 6 replies

  • Conducting a One-Sample t Test

    Learn more in our free online course:
    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...

    jules jules
    Learning Library |
    Dec 3, 2021 1:03 PM
    16485 views | 0 replies

  • A Two-Sample t Test

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

    (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...

    jules jules
    Learning Library |
    Dec 3, 2021 1:03 PM
    57656 views | 0 replies

  • Performing a Paired t-Test

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

    (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 ...

    jules jules
    Learning Library |
    Dec 3, 2021 1:03 PM
    28251 views | 0 replies

  • Estimating Capability for Nonnormal Data

    Learn more in our free online course:
    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...

    jules jules
    Learning Library |
    Dec 3, 2021 1:03 PM
    1288 views | 0 replies

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