cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • JMP 19 is here! See the new features at jmp.com/new.
  • Register to attend Discovery Summit 2025 Online: Early Users Edition, Sept. 24-25.

Statistical Thinking for Industrial Problem Solving

Choose Language Hide Translation Bar

Featured Items

Latest Posts

  • Creating Scatterplots and Scatterplot Matrices

    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 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...

    julian julian
    6022 views | 0 replies

  • Creating Comparative Box Plots with Graph 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 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...

    julian julian
    12360 views | 2 replies

  • Creating Run Charts (Line Graphs) with Graph 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 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 ...

    julian julian
    3369 views | 0 replies

  • Creating Tabular Summaries for Categorical 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 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...

    julian julian
    2983 views | 0 replies

  • Creating bar charts and mosaic 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 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...

    julian julian
    4781 views | 0 replies

  • Checking for Normality

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

      (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.   ...

    julian julian
    8256 views | 0 replies

  • Finding the Area under a Curve

    Learn more in our free online course:
    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...

    julian julian
    2197 views | 0 replies

  • The Central Limit Theorem

    Learn more in our free online course:
    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...

    julian julian
    2964 views | 0 replies

  • Exploring the Central Limit Theorem

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

    (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. ...

    julian julian
    1678 views | 0 replies

  • Switching Columns in an Analysis

    Learn more in our free online course:
    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 ...

    julian julian
    3751 views | 0 replies

  • Creating Sorted Bar Charts and Pareto 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 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...

    julian julian
    3299 views | 0 replies

  • Creating Packed Bar 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 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...

    julian julian
    1072 views | 0 replies

  • Using the Local Data Filter

    Learn more in our free online course:
    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...

    julian julian
    13996 views | 0 replies

  • Creating a Tree Map

    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 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...

    julian julian
    1854 views | 0 replies

  • 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...

    julian julian
    2000 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...

    julian julian
    3770 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...

    julian julian
    13256 views | 0 replies

  • Customizing Graphs

    Learn more in our free online course:
    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...

    julian julian
    5613 views | 4 replies

  • 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...

    julian julian
    1123 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...

    julian julian
    1457 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...

    julian julian
    795 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...

    julian julian
    4341 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 ...

    julian julian
    3296 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. ...

    julian julian
    2692 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...

    julian julian
    8790 views | 0 replies