Elementary Statistics Using JMP (SAS Press) by Sandra Schlotzhauer

By Sandra Schlotzhauer

how one can practice simple statistical analyses utilizing the strong JMP software program. effortless information utilizing JMP bridges the space among information texts and JMP documentation. writer Sandra Schlotzhauer opens with a proof of the fundamentals of JMP info tables, demonstrating tips on how to use JMP for descriptive data and graphs. the writer keeps with a lucid dialogue of basic statistical recommendations, together with normality and speculation checking out. utilizing a step by step method, she exhibits analyses for evaluating teams, evaluating a number of teams, becoming regression equations, and exploring contingency tables. for every research, the writer in actual fact explains assumptions, the statistical technique, the JMP steps and effects, and the way to make conclusions from the implications.

Statistical tools contain:

  • histograms, field plots, descriptive statistics, stem-and-leaf plots
  • mosaic plots, bar charts, and treemaps
  • t-tests and Wilcoxon assessments to match self sufficient or paired teams
  • one-way ANOVA and Kruskal-Wallis exams, and chosen a number of comparability strategies
  • Pearson and Spearman correlation coefficients
  • regression types for traces, curves, and a number of variables
  • residuals plots and lack-of-fit assessments for regression
  • Chi-square checks, Fisher's particular try out, and measures of organization for contingency tables.

know the way to interpret either the graphs and textual content experiences, in addition to tips on how to customise JMP effects to fulfill your wishes. filled with examples from a large variety of industries, this article is perfect for beginner to intermediate JMP clients. previous statistical wisdom, JMP event, or programming abilities usually are not required.

--This textual content refers back to the Paperback edition.

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