Producing and Interpreting Basic Statistics Using JMP®

Presenter: Kevin Potcner

Producing Basic Inferential Statistics and Statistical Models

See how to:

  • Understand data table organization before starting analyses
  • Create Distributions and auto-generate statistics for categorical and continuous variables (7:00)
  • Highlight and subset rows (9:00)
  • Hide and exclude data from statistical analysis (10:30)
  • Use red triangle hot spots to see list of, choose and customize relevant analysis options that add statistics to reports (12:30)
  • Manipulate, rescale and rebin data in graphs; show labels and pictures associated with variables to help interpret statistical results (14:50)
  • Interactively create simple and more complex local data filters to dynamically see displayed statistics change by variable values (17:15)
  • Create data table global data filter that applies to all analyses and statistics (19:30)
  • Run and interpret basic inferential statistics including hypothesis tests, confidence intervals, probabilities, test statistics and p-value (22:22)
  • Select and interpret fits for multiple types of distributions for continuous values; view normal quantile plot and goodness of fit (28:58)
  • Save statistics to data table for easy replay (30:50)
  • Use Graph Builder to create simple statistical models for one continuous or categorical variable (32:35)
  • Use Column Switcher to easily examine and compare statistics describing input variable impact on response variable (35:12)
  • Create different report formats and statistics for different variable combinations (37:50)
  • Use Fit Y x X to model explanatory variables, let JMP run analyses and get statistics appropriate for the data (ANOVA for categorical; regression for continuous) and interactively select further statistical tests appropriate for the data type including hypothesis test, t-test, confidence intervals, R2 and adjusted R2 (39:30)

Note: Q&A included at times 46:06 and 46:48.

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