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2: (R)e-Introduction to statistics

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    The previous material served to get us started in R and to get a quick review of same basic graphical and descriptive statistics. Now we will begin to engage some new material and exploit the power of R to do statistical inference. Because inference is one of the hardest topics to master in statistics, we will also review some basic terminology that is required to move forward in learning more sophisticated statistical methods. To keep this “review” as short as possible, we will not consider every situation you learned in introductory statistics and instead focus exclusively on the situation where we have a quantitative response variable measured on two groups, adding a new graphic called a “pirate-plot” to help us see the differences in the observations in the groups.

    This page titled 2: (R)e-Introduction to statistics is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by via source content that was edited to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

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    1. Article type
      Chapter
      Author
      Mark Greenwood
      License
      CC BY-NC
      License Version
      4.0
      Show TOC
      no
    2. Tags
      1. source@https://greenwood-stat.github.io/GreenwoodBookHTML