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Statistical Thinking for Industrial Problem Solving

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  • 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 ...

    julian julian
    2304 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. ...

    julian julian
    2888 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 ...

    julian julian
    7293 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 ...

    julian julian
    4239 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...

    julian julian
    4198 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....

    julian julian
    1381 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...

    julian julian
    1198 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...

    julian julian
    2691 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...

    julian julian
    3956 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...

    julian julian
    55881 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...

    julian julian
    3909 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 ...

    julian julian
    1777 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...

    julian julian
    27902 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, ...

    julian julian
    16329 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...

    julian julian
    15572 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...

    julian julian
    54040 views | 0 replies

  • Performing a Paired t-Test

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    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 ...

    julian julian
    26509 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...

    julian julian
    1046 views | 0 replies

  • Calculating the Sample Size for a Confidence Interval

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

    (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. ...

    julian julian
    13545 views | 0 replies

  • Exploring the Power Animation

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

    (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...

    julian julian
    1458 views | 0 replies

  • Calculating the Sample Size for 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 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...

    julian julian
    3314 views | 0 replies

  • Calculating the Sample Size for Two or More Sample Means

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

    (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...

    julian julian
    12411 views | 0 replies

  • Demonstration: Influence of Outliers

    Learn more in our free online course:
    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...

    julian julian
    678 views | 0 replies

  • Assessing Correlations

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

      (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...

    julian julian
    6809 views | 0 replies

  • Fitting a Regression Model

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

    (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...

    julian julian
    6545 views | 0 replies