Fri, 22 August 2008 Let's go beyond interpretation and see how Effect Leverage Plots are constructed. Once you've watched this episode, look for the link at the very end where you can download a step-by-step JSL script used to build Effect Leverage Plots.Comments[0] |
Thu, 14 August 2008 Leverage plots provide lots of insights. Learn how to interpret Whole Model and Effect Leverage plots in this episode. The next one will show how Effect Leverage plots are constructed.Comments[2] |
Sun, 10 August 2008 A terrific opportunity to pick up all sorts of new ideas and methods on analytical methods. Comments[0] |
Mon, 17 March 2008 After you complete your analysis you often need to share it with others. JMP facilitates this in two ways the first being the Journal feature in JMP. In this episode, we'll get a look at some Journal versatility.
The second option is to export your analysis into word processing applications either by copying and pasting elements of your analysis directly or by exporting a Journal.
This episode covers these features and reveals some useful but little-known tricks.Comments[0] |
Mon, 28 January 2008 A variety of options makes importing data from text files into JMP really easy. We review them in this ASE episode.Comments[0] |
Wed, 19 December 2007 JMP and Excel: two popular applications that work well together. Learn a few tricks and considerations involved with transferring data between JMP and Excel.Direct download: JMP_inputing_and_exporting_with_Excel.mov Category: podcasts -- posted at: 11:33 PM Comments[0] |
Wed, 12 December 2007 Data tables are for more than just data. You can also record important context information with column properties. Doing so will save you time and deepen the insights derived from your analysis. We extend our exploration of this JMP facility in this Applied Statistical Essentials podcast episode.Comments[0] |
Mon, 5 November 2007 From time to time data is just not as it should be. Fortunately, JMP users can easily correct the situation.Comments[0] |
Tue, 18 September 2007 JMP offers many avenues for getting assistance both within the application and from a variety of external sources (including this podcast!).Comments[0] |
Wed, 6 June 2007 Confidence Intervals are among the most essential of all statistical concepts. They are also extremely relevant practically.Comments[0] |

Let's go beyond interpretation and see how Effect Leverage Plots are constructed. Once you've watched this episode, look for the link at the very end where you can download a step-by-step JSL script used to build Effect Leverage Plots.
Leverage plots provide lots of insights. Learn how to interpret Whole Model and Effect Leverage plots in this episode. The next one will show how Effect Leverage plots are constructed.
A terrific opportunity to pick up all sorts of new ideas and methods on analytical methods.
After you complete your analysis you often need to share it with others. JMP facilitates this in two ways the first being the Journal feature in JMP. In this episode, we'll get a look at some Journal versatility.
The second option is to export your analysis into word processing applications either by copying and pasting elements of your analysis directly or by exporting a Journal.
This episode covers these features and reveals some useful but little-known tricks.
A variety of options makes importing data from text files into JMP really easy. We review them in this ASE episode.
JMP and Excel: two popular applications that work well together. Learn a few tricks and considerations involved with transferring data between JMP and Excel.
Data tables are for more than just data. You can also record important context information with column properties. Doing so will save you time and deepen the insights derived from your analysis. We extend our exploration of this JMP facility in this Applied Statistical Essentials podcast episode.
From time to time data is just not as it should be. Fortunately, JMP users can easily correct the situation.
JMP offers many avenues for getting assistance both within the application and from a variety of external sources (including this podcast!).
Confidence Intervals are among the most essential of all statistical concepts. They are also extremely relevant practically.