Producing and Interpreting Basic Statistics Using JMP®

Presenters: Ross Metusalem and Kevin Potcner


Producing and Interpreting Basic Statistics

In Ross Metusalem's video, see how to:

  • Find and interpret data central trend (mean, median, frequency/counts, confidence interval of the mean)
  • Find and interpret data spread/variability (standard deviation, range, interquartile range)
  • Determine if average or spread is different from some important value (mean diffrence, p-value)
  • Find and interpret relationship between variables (mean difference, p-value, R2; correlation, regression slope)

Note: Q&A included at times 44:41 and 45:43.

In Kevin Potcner's video, see how to:

  • Understand data table organization before starting analyses
  • Create Distributions and auto-generate statistics for categorical and continuous variables
  • Highlight and subset rows
  • Hide and exclude data from statistical analysis
  • Use red triangle hot spots to see list of, choose and customize relevant analysis options that add statistics to reports
  • Manipulate, rescale and rebin data in graphs; show labels and pictures associated with variables to help interpret statistical results
  • Interactively create simple and more complex local data filters to dynamically see displayed statistics change by variable values
  • Create data table global data filter that applies to all analyses and statistics
  • Run and interpret basic inferential statistics including hypothesis tests, confidence intervals, probabilities, test statistics and p-value
  • Select and interpret fits for multiple types of distributions for continuous values; view normal quantile plot and goodness of fit
  • Save statistics to data table for easy replay
  • Use Graph Builder to create simple statistical models for one continuous or categorical variable
  • Use Column Switcher to easily examine and compare statistics describing input variable impact on response variable
  • Create different report formats and statistics for different variable combinations
  • 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

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

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