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Statistical Thinking for Industrial Problem Solving

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  • STIPS Module 6: Design of Experiments

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 6 covers the language of DOE and how to design, conduct, and analyze an experiment in JMP. The topics covered in this module are outlined below. Enroll in this and ot...

    ruthhummel ruthhummel
    4037 views | 0 replies

  • STIPS Module 7: Predictive Modeling and Text Mining

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 7 covers identifying possible relationships, building predictive models, and deriving value from free-form text. The topics covered in this module are outlined below....

    ruthhummel ruthhummel
    2407 views | 0 replies

  • Statistical Thinking for Industrial Problem Solving Course

    Statistical Thinking for Industrial Problem Solving is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules, totaling about 30 hours of self-paced learning. Each module includes short instructional videos, JMP demonstrations, questions and exercises. Learn more and enroll at jmp.com/statis...

    ruthhummel ruthhummel
    4451 views | 0 replies

  • STIPS Module 5: Correlation and Regression

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 5 covers the linear association between pairs of variables and fitting and interpreting linear and logistic regression models. The topics covered in this module are o...

    ruthhummel ruthhummel
    2155 views | 0 replies

  • STIPS Module 4: Decision Making with Data

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 4 covers drawing inferences from data, constructing statistical intervals, performing hypothesis tests, and the relationship between sample size and power. The topics...

    ruthhummel ruthhummel
    1354 views | 0 replies

  • STIPS Module 3: Quality Methods

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 3 covers tools to quantify, control, and reduce variation in your product, service, or process. The topics covered in this module are outlined below. Enroll in this a...

    ruthhummel ruthhummel
    1714 views | 0 replies

  • STIPS Module 2: Exploratory Data Analysis

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 2 covers describing data with graphics and using interactive visualizations to find and communicate the story in the data. The topics covered in this module are outli...

    ruthhummel ruthhummel
    2534 views | 0 replies

  • STIPS Module 1: Statistical Thinking and Problem Solving

    Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The course is comprised of seven modules. Module 1 covers mapping a problem, defining and scoping your project, and determining the data you need to solve your problem. The topics covered in this module are outlined...

    ruthhummel ruthhummel
    4162 views | 0 replies

  • Hiding and Excluding 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 hide and exclude observations from an analysis in JMP. When you hide observations, you remove the data from graphical displays. When you exclude observations, you remove the values from future analyses or calculations.   We’ll use the Temperature data set, w...

    julian julian
    13130 views | 0 replies

  • Adding Markers, Colors, and Row Legends

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving (view in My Videos)   In this video, we use the Impurity data to show how to add markers, colors, and legends to your graphs using two platforms, Graph Builder and Scatterplot Matrix.   We’ll start by creating a scatterplot using Graph Builder. To do this, we select Graph Builder from the Graph menu.   We dra...

    julian julian
    15760 views | 0 replies

  • Creating a Geographic Map Using Shape Files

    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 geographic map using shape files and the Mobile Cellular data.   Remember that 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 ...

    julian julian
    1845 views | 0 replies

  • Creating Maps Using Coordinates

    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 geographic maps using X and Y coordinates. The coordinates can be latitudes and longitudes, or they can by positions in two-dimensional space. First, we show how to create geographic maps using latitudes and longitudes with the Geographic Sales data. ...

    julian julian
    8052 views | 0 replies

  • Exploring Missing Values

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

    (view in My Videos)   In this video, you learn how to explore missing values using the Components data.   First, we use Columns Viewer to see how many values are missing for each of the variables. We select Columns Viewer from the Cols menu, select all of the variables, and click Show Summary.   Several varia...

    julian julian
    9155 views | 0 replies

  • Using Recode

    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 Recode to clean supplier names in the file Components.jmp.   First, let’s take a look at the supplier names using the Distribution platform from the Analyze menu. You can see that there are 10 levels (or categories) of supplier, and that 10 observation...

    julian julian
    4829 views | 0 replies

  • Stacking and Splitting 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 stack data for analysis using the file Particles.jmp.   In this scenario, you have particle data for five samples per polymer, and your data for the polymers are stored in separate columns in a data table.   You want to stack the data so that the polymer l...

    julian julian
    5629 views | 0 replies

  • Concatenating Data Tables

    Learn more in our free online course:
    Statistical Thinking for Industrial Problem Solving (view in My Videos) In this video, you see how to concatenate two data tables.   The working file, with reject data over the previous four months of the year, is stored in Rejects Data.jmp.   You would like to add new data, stored in Rejects Data New.jmp, to your original data table.   Because the two files h...

    julian julian
    3781 views | 0 replies

  • Joining Data Tables

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

    (view in My Videos)   In this video, you learn how to join two files together using a matching column.   The file Rejects.jmp has information about rejected parts by order number, item number, and reject code. This is your working data table.   The reject codes are two-digit codes, but they’re not descriptive...

    julian julian
    7107 views | 0 replies

  • Binning Data Using Conditional IF-THEN Statements

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

    (view in My Videos)   In this video, you learn how to create an IF-THEN formula to bin continuous data using the file Measles.jmp.   This data table includes data on the incidence of measles in the United States from 1928 to 2011. In this scenario, we want to create a new variable that groups data into three ...

    julian julian
    9170 views | 1 replies

  • Transforming Data

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

    (view in My Videos)   In this video, you learn two methods for transforming data: using virtual columns in analyses and using New Formula Column from the data table.   For this video, we use the file Queue Time.jmp. This file includes information about queue times for 100 batches of parts in a machining opera...

    julian julian
    11393 views | 0 replies

  • 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...

    julian julian
    5705 views | 0 replies

  • Creating Histograms in JMP

    Learn more in our free online course:
    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...

    julian julian
    19713 views | 0 replies

  • Saving Your Work Using Scripts

    Learn more in our free online course:
    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...

    julian julian
    3637 views | 0 replies

  • Summarizing Continuous Data with 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 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...

    julian julian
    2607 views | 0 replies

  • Summarizing Continuous Data with Column Viewer and Tabulate

    Learn more in our free online course:
    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...

    julian julian
    2292 views | 0 replies

  • Creating Tabular Summaries with Tabulate

    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 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...

    julian julian
    2097 views | 0 replies